id	sid	tid	token	lemma	pos
work_3gmfusebffdg3m6qdqgyme5u7e	1	1	Mining	mine	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	1	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	1	3	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	1	4	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	1	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	1	6	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	1	7	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	1	8	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	1	9	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	1	10	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	1	11	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	1	12	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	1	13	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	1	14	repository	repository	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	1	15	copy	copy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	1	16	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	1	17	Mining	Mining	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	1	18	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	1	19	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	1	20	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	1	21	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	1	22	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	1	23	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	1	24	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	1	25	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	1	26	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	1	27	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	2	1	White	White	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	2	Rose	Rose	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	3	Research	Research	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	4	Online	Online	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	5	URL	URL	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	6	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	2	7	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	2	8	paper	paper	NN
work_3gmfusebffdg3m6qdqgyme5u7e	2	9	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	2	10	http://eprints.whiterose.ac.uk/75051/	http://eprints.whiterose.ac.uk/75051/	ADD
work_3gmfusebffdg3m6qdqgyme5u7e	2	11	Version	version	NN
work_3gmfusebffdg3m6qdqgyme5u7e	2	12	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	2	13	Submitted	submit	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	2	14	Version	Version	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	15	Article	Article	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	16	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	2	17	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	2	19	Fadi	Fadi	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	20	A.	A.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	21	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	2	22	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	23	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	2	24	Peter	Peter	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	25	I.	I.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	26	orcid.org/0000-0003-1310-6683	orcid.org/0000-0003-1310-6683	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	2	27	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	2	28	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	2	29	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	2	30	Mining	mine	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	2	31	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	2	32	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	2	33	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	2	34	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	2	35	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	2	36	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	2	37	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	2	38	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	2	39	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	2	40	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	3	1	Expert	expert	NN
work_3gmfusebffdg3m6qdqgyme5u7e	3	2	systems	system	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	3	3	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	3	4	applications	application	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	3	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	4	1	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	4	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	5	1	1093	1093	CD
work_3gmfusebffdg3m6qdqgyme5u7e	5	2	-	-	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	5	3	1101	1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	5	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	6	1	ISSN	ISSN	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	6	2	0957	0957	CD
work_3gmfusebffdg3m6qdqgyme5u7e	6	3	-	-	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	6	4	4174	4174	CD
work_3gmfusebffdg3m6qdqgyme5u7e	6	5	https://doi.org/10.1016/j.eswa.2006.12.018	https://doi.org/10.1016/j.eswa.2006.12.018	CD
work_3gmfusebffdg3m6qdqgyme5u7e	6	6	eprints@whiterose.ac.uk	eprints@whiterose.ac.uk	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	6	7	https://eprints.whiterose.ac.uk/	https://eprints.whiterose.ac.uk/	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	6	8	Reuse	reuse	NN
work_3gmfusebffdg3m6qdqgyme5u7e	6	9	Items	Items	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	6	10	deposited	deposit	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	6	11	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	6	12	White	White	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	6	13	Rose	Rose	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	6	14	Research	Research	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	6	15	Online	Online	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	6	16	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	6	17	protected	protect	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	6	18	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	6	19	copyright	copyright	NN
work_3gmfusebffdg3m6qdqgyme5u7e	6	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	6	21	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	6	22	all	all	DT
work_3gmfusebffdg3m6qdqgyme5u7e	6	23	rights	right	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	6	24	reserved	reserve	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	6	25	unless	unless	IN
work_3gmfusebffdg3m6qdqgyme5u7e	6	26	indicated	indicate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	6	27	otherwise	otherwise	RB
work_3gmfusebffdg3m6qdqgyme5u7e	6	28	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	7	1	They	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	7	2	may	may	MD
work_3gmfusebffdg3m6qdqgyme5u7e	7	3	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	7	4	downloaded	download	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	7	5	and/or	and/or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	7	6	printed	print	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	7	7	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	7	8	private	private	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	7	9	study	study	NN
work_3gmfusebffdg3m6qdqgyme5u7e	7	10	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	7	11	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	7	12	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	7	13	acts	act	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	7	14	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	7	15	permitted	permit	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	7	16	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	7	17	national	national	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	7	18	copyright	copyright	NN
work_3gmfusebffdg3m6qdqgyme5u7e	7	19	laws	law	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	7	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	8	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	8	2	publisher	publisher	NN
work_3gmfusebffdg3m6qdqgyme5u7e	8	3	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	8	4	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	8	5	rights	right	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	8	6	holders	holder	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	8	7	may	may	MD
work_3gmfusebffdg3m6qdqgyme5u7e	8	8	allow	allow	VB
work_3gmfusebffdg3m6qdqgyme5u7e	8	9	further	further	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	8	10	reproduction	reproduction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	8	11	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	8	12	re	re	NN
work_3gmfusebffdg3m6qdqgyme5u7e	8	13	-	-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	8	14	use	use	NN
work_3gmfusebffdg3m6qdqgyme5u7e	8	15	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	8	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	8	17	full	full	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	8	18	text	text	NN
work_3gmfusebffdg3m6qdqgyme5u7e	8	19	version	version	NN
work_3gmfusebffdg3m6qdqgyme5u7e	8	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	9	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	9	2	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	9	3	indicated	indicate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	9	4	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	9	5	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	9	6	licence	licence	NN
work_3gmfusebffdg3m6qdqgyme5u7e	9	7	information	information	NN
work_3gmfusebffdg3m6qdqgyme5u7e	9	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	9	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	9	10	White	White	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	9	11	Rose	Rose	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	9	12	Research	Research	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	9	13	Online	Online	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	9	14	record	record	NN
work_3gmfusebffdg3m6qdqgyme5u7e	9	15	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	9	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	9	17	item	item	NN
work_3gmfusebffdg3m6qdqgyme5u7e	9	18	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	10	1	Takedown	Takedown	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	10	2	If	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	10	3	you	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	10	4	consider	consider	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	10	5	content	content	NN
work_3gmfusebffdg3m6qdqgyme5u7e	10	6	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	10	7	White	White	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	10	8	Rose	Rose	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	10	9	Research	Research	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	10	10	Online	Online	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	10	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	10	12	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	10	13	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	10	14	breach	breach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	10	15	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	10	16	UK	UK	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	10	17	law	law	NN
work_3gmfusebffdg3m6qdqgyme5u7e	10	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	10	19	please	please	UH
work_3gmfusebffdg3m6qdqgyme5u7e	10	20	notify	notify	VB
work_3gmfusebffdg3m6qdqgyme5u7e	10	21	us	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	10	22	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	10	23	emailing	email	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	10	24	eprints@whiterose.ac.uk	eprints@whiterose.ac.uk	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	10	25	including	include	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	10	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	10	27	URL	url	NN
work_3gmfusebffdg3m6qdqgyme5u7e	10	28	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	10	29	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	10	30	record	record	NN
work_3gmfusebffdg3m6qdqgyme5u7e	10	31	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	10	32	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	10	33	reason	reason	NN
work_3gmfusebffdg3m6qdqgyme5u7e	10	34	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	10	35	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	10	36	withdrawal	withdrawal	NN
work_3gmfusebffdg3m6qdqgyme5u7e	10	37	request	request	NN
work_3gmfusebffdg3m6qdqgyme5u7e	10	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	11	1	Mining	mine	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	11	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	11	3	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	11	4	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	11	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	11	6	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	11	7	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	8	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	11	9	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	11	10	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	11	Fadi	Fadi	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	12	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	13	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	11	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	11	15	*	*	NFP
work_3gmfusebffdg3m6qdqgyme5u7e	11	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	11	17	Peter	Peter	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	18	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	19	b	b	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	20	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	11	21	Department	Department	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	22	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	11	23	Computing	Computing	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	24	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	11	25	Engineering	Engineering	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	26	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	11	27	University	University	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	28	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	11	29	Huddersfield	Huddersfield	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	30	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	11	31	Huddersfield	Huddersfield	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	32	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	11	33	UK	UK	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	34	b	b	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	35	MOSAIC	MOSAIC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	36	Research	Research	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	37	Centre	Centre	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	38	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	11	39	University	University	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	40	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	11	41	Bradford	Bradford	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	42	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	11	43	Bradford	Bradford	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	44	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	11	45	UK	UK	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	46	Abstract	Abstract	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	47	Associative	Associative	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	11	48	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	49	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	11	50	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	11	51	promising	promising	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	11	52	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	53	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	54	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	11	55	utilises	utilise	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	11	56	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	57	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	58	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	59	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	11	60	construct	construct	VB
work_3gmfusebffdg3m6qdqgyme5u7e	11	61	accurate	accurate	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	11	62	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	11	63	models	model	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	11	64	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	12	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	12	2	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	12	3	paper	paper	NN
work_3gmfusebffdg3m6qdqgyme5u7e	12	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	12	5	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	12	6	investigate	investigate	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	12	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	12	8	potential	potential	NN
work_3gmfusebffdg3m6qdqgyme5u7e	12	9	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	12	10	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	12	11	classifiers	classifier	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	12	12	as	as	RB
work_3gmfusebffdg3m6qdqgyme5u7e	12	13	well	well	RB
work_3gmfusebffdg3m6qdqgyme5u7e	12	14	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	12	15	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	12	16	traditional	traditional	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	12	17	classifiers	classifier	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	12	18	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	12	19	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	12	20	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	12	21	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	12	22	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	12	23	rule	rule	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	12	24	inducers	inducer	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	12	25	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	12	26	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	12	27	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	12	28	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	12	29	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	12	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	12	31	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	12	32	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	12	33	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	12	34	general	general	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	12	35	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	12	36	purpose	purpose	NN
work_3gmfusebffdg3m6qdqgyme5u7e	12	37	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	12	38	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	12	39	called	call	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	12	40	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	12	41	hyperheuristic	hyperheuristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	12	42	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	12	43	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	12	44	personnel	personnel	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	12	45	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	12	46	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	12	47	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	13	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	13	2	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	13	3	requires	require	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	13	4	us	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	13	5	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	13	6	decide	decide	VB
work_3gmfusebffdg3m6qdqgyme5u7e	13	7	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	13	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	13	9	several	several	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	13	10	simpler	simple	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	13	11	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	13	12	neighbourhoods	neighbourhood	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	13	13	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	13	14	apply	apply	VB
work_3gmfusebffdg3m6qdqgyme5u7e	13	15	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	13	16	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	13	17	step	step	NN
work_3gmfusebffdg3m6qdqgyme5u7e	13	18	while	while	IN
work_3gmfusebffdg3m6qdqgyme5u7e	13	19	constructing	construct	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	13	20	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	13	21	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	13	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	14	1	After	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	14	2	experimenting	experiment	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	14	3	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	14	4	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	14	5	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	6	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	14	7	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	14	8	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	14	9	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	14	10	called	call	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	14	11	Peckish	Peckish	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	14	12	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	14	13	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	14	14	classifi-	classifi-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	15	cation	cation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	16	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	14	17	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	14	18	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	14	19	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	14	20	indicated	indicate	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	14	21	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	14	22	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	14	23	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	24	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	25	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	14	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	14	27	most	most	RBS
work_3gmfusebffdg3m6qdqgyme5u7e	14	28	applicable	applicable	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	14	29	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	30	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	14	31	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	14	32	kind	kind	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	33	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	14	34	problems	problem	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	14	35	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	14	36	reference	reference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	37	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	14	38	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	14	39	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	15	1	Particularly	particularly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	15	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	15	3	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	15	4	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	15	5	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	15	6	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	15	7	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	15	8	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	15	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	15	10	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	15	11	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	15	12	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	15	13	were	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	15	14	able	able	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	15	15	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	15	16	predict	predict	VB
work_3gmfusebffdg3m6qdqgyme5u7e	15	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	15	18	selection	selection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	15	19	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	15	20	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	15	21	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	15	22	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	15	23	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	15	24	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	15	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	15	26	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	15	27	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	15	28	more	more	RBR
work_3gmfusebffdg3m6qdqgyme5u7e	15	29	accurately	accurately	RB
work_3gmfusebffdg3m6qdqgyme5u7e	15	30	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	15	31	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	15	32	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	15	33	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	15	34	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	15	35	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	15	36	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	15	37	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	15	38	respectively	respectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	15	39	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	16	1	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	16	2	2007	2007	CD
work_3gmfusebffdg3m6qdqgyme5u7e	16	3	Elsevier	Elsevier	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	16	4	Ltd.	Ltd.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	16	5	All	all	DT
work_3gmfusebffdg3m6qdqgyme5u7e	16	6	rights	right	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	16	7	reserved	reserve	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	16	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	17	1	Keywords	keyword	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	17	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	17	3	Associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	17	4	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	17	5	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	17	6	Classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	17	7	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	17	8	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	17	9	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	17	10	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	17	11	Hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	17	12	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	17	13	Scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	17	14	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	17	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	18	1	Introduction	introduction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	18	2	Heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	18	3	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	18	4	metaheuristic	metaheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	18	5	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	18	6	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	18	7	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	18	8	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	18	9	widely	widely	RB
work_3gmfusebffdg3m6qdqgyme5u7e	18	10	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	18	11	personnel	personnel	NN
work_3gmfusebffdg3m6qdqgyme5u7e	18	12	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	18	13	scheduling	schedule	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	18	14	problems	problem	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	18	15	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	18	16	Blum	Blum	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	18	17	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	18	18	Roli	Roli	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	18	19	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	18	20	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	18	21	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	18	22	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	18	23	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	18	24	Kendall	Kendall	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	18	25	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	18	26	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	18	27	Han	Han	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	18	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	18	29	2002	2002	CD
work_3gmfusebffdg3m6qdqgyme5u7e	18	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	18	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	19	1	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	19	2	metaheuris-	metaheuris-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	19	3	tic	tic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	19	4	could	could	MD
work_3gmfusebffdg3m6qdqgyme5u7e	19	5	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	19	6	defined	define	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	19	7	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	19	8	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	19	9	recursive	recursive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	19	10	process	process	NN
work_3gmfusebffdg3m6qdqgyme5u7e	19	11	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	19	12	directs	direct	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	19	13	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	19	14	simpler	simple	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	19	15	local	local	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	19	16	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	19	17	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	19	18	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	19	19	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	19	20	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	19	21	concepts	concept	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	19	22	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	19	23	exploring	explore	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	19	24	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	19	25	exploiting	exploit	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	19	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	19	27	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	19	28	space	space	NN
work_3gmfusebffdg3m6qdqgyme5u7e	19	29	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	19	30	order	order	NN
work_3gmfusebffdg3m6qdqgyme5u7e	19	31	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	19	32	achieve	achieve	VB
work_3gmfusebffdg3m6qdqgyme5u7e	19	33	good	good	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	19	34	enough	enough	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	19	35	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	19	36	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	19	37	Blum	Blum	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	19	38	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	19	39	Roli	Roli	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	19	40	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	19	41	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	19	42	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	19	43	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	20	1	There	there	EX
work_3gmfusebffdg3m6qdqgyme5u7e	20	2	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	20	3	several	several	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	20	4	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	20	5	metaheuristic	metaheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	20	6	strategies	strategy	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	20	7	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	20	8	solving	solve	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	20	9	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	20	10	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	20	11	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	20	12	problems	problem	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	20	13	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	20	14	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	20	15	local	local	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	20	16	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	20	17	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	20	18	tabu	tabu	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	20	19	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	20	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	20	21	simulated	simulate	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	20	22	annealing	annealing	NN
work_3gmfusebffdg3m6qdqgyme5u7e	20	23	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	20	24	variable	variable	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	20	25	neighbour-	neighbour-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	20	26	hood	hood	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	20	27	search	search	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	20	28	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	21	1	Hamiez	hamiez	VB
work_3gmfusebffdg3m6qdqgyme5u7e	21	2	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	21	3	Hao	Hao	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	21	4	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	21	5	2001	2001	CD
work_3gmfusebffdg3m6qdqgyme5u7e	21	6	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	21	7	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	21	8	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	21	9	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	21	10	tabu	tabu	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	21	11	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	21	12	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	21	13	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	21	14	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	21	15	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	21	16	solve	solve	VB
work_3gmfusebffdg3m6qdqgyme5u7e	21	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	21	18	sport	sport	NN
work_3gmfusebffdg3m6qdqgyme5u7e	21	19	league	league	NN
work_3gmfusebffdg3m6qdqgyme5u7e	21	20	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	21	21	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	21	22	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	21	23	SLSP	SLSP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	21	24	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	21	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	22	1	Their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	22	2	implementation	implementation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	22	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	22	5	enhanced	enhanced	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	22	6	tabu	tabu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	22	7	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	22	8	algorithm	algorithm	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	22	9	was	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	22	10	able	able	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	22	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	22	12	schedule	schedule	VB
work_3gmfusebffdg3m6qdqgyme5u7e	22	13	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	22	14	timetable	timetable	NN
work_3gmfusebffdg3m6qdqgyme5u7e	22	15	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	16	up	up	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	17	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	22	18	40	40	CD
work_3gmfusebffdg3m6qdqgyme5u7e	22	19	teams	team	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	22	20	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	22	21	its	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	22	22	performance	performance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	22	23	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	24	term	term	NN
work_3gmfusebffdg3m6qdqgyme5u7e	22	25	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	22	27	CPU	CPU	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	22	28	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	22	29	was	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	22	30	excellent	excellent	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	22	31	if	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	32	compared	compare	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	22	33	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	34	previous	previous	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	22	35	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	22	36	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	22	37	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	38	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	22	39	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	40	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	22	41	McAloon	McAloon	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	22	42	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	22	43	TretKoff	TretKoff	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	22	44	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	22	45	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	22	46	Wetzel	Wetzel	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	22	47	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	22	48	1997	1997	CD
work_3gmfusebffdg3m6qdqgyme5u7e	22	49	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	22	50	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	22	51	had	have	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	22	52	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	22	53	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	22	54	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	22	55	solving	solve	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	22	56	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	22	57	same	same	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	22	58	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	22	59	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	23	1	Aicklen	Aicklen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	23	2	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	23	3	Dowsland	Dowsland	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	23	4	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	23	5	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	23	6	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	23	7	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	23	8	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	23	9	Genetic	genetic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	23	10	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	23	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	23	12	deal	deal	VB
work_3gmfusebffdg3m6qdqgyme5u7e	23	13	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	23	14	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	23	15	nurse	nurse	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	16	rostering	rostering	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	17	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	18	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	23	19	major	major	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	23	20	UK	UK	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	23	21	hospi-	hospi-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	22	tals	tal	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	23	23	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	23	24	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	23	25	Hansen	Hansen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	23	26	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	23	27	Mladenovic	Mladenovic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	23	28	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	23	29	1997	1997	CD
work_3gmfusebffdg3m6qdqgyme5u7e	23	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	23	31	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	23	32	showed	show	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	23	33	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	23	34	variable	variable	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	23	35	neighbourhood	neighbourhood	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	36	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	37	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	23	38	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	23	39	effective	effective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	23	40	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	41	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	23	42	solving	solve	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	23	43	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	44	problems	problem	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	23	45	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	23	46	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	23	47	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	23	48	generates	generate	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	23	49	good	good	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	23	50	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	23	51	sometimes	sometimes	RB
work_3gmfusebffdg3m6qdqgyme5u7e	23	52	near	near	IN
work_3gmfusebffdg3m6qdqgyme5u7e	23	53	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	23	54	optimal	optimal	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	23	55	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	23	56	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	23	57	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	23	58	moderate	moderate	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	23	59	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	23	60	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	24	1	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	24	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	24	3	Kendall	Kendall	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	24	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	24	5	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	24	6	Soubeiga	Soubeiga	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	24	7	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	24	8	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	24	9	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	24	10	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	24	11	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	24	12	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	24	13	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	24	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	25	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	25	2	2002	2002	CD
work_3gmfusebffdg3m6qdqgyme5u7e	25	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	25	4	argued	argue	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	25	5	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	25	6	metaheuristic	metaheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	25	7	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	25	8	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	25	9	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	25	10	tend	tend	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	25	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	25	12	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	25	13	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	25	14	rich	rich	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	25	15	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	25	16	require	require	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	25	17	exten-	exten-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	25	18	sive	sive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	25	19	experience	experience	NN
work_3gmfusebffdg3m6qdqgyme5u7e	25	20	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	25	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	25	22	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	25	23	domain	domain	NN
work_3gmfusebffdg3m6qdqgyme5u7e	25	24	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	25	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	25	26	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	25	27	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	25	28	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	25	29	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	25	30	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	25	31	therefore	therefore	RB
work_3gmfusebffdg3m6qdqgyme5u7e	25	32	they	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	25	33	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	25	34	expensive	expensive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	25	35	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	25	36	term	term	NN
work_3gmfusebffdg3m6qdqgyme5u7e	25	37	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	25	38	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	25	39	implementation	implementation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	25	40	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	26	1	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	26	2	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	26	3	general	general	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	26	4	framework	framework	NN
work_3gmfusebffdg3m6qdqgyme5u7e	26	5	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	26	6	deal	deal	VB
work_3gmfusebffdg3m6qdqgyme5u7e	26	7	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	26	8	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	26	9	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	26	10	complex	complex	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	26	11	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	26	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	26	13	schedul-	schedul-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	26	14	ing	ing	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	26	15	problems	problem	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	26	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	26	17	called	call	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	26	18	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	26	19	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	26	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	26	21	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	26	22	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	26	23	proposed	propose	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	26	24	0957	0957	CD
work_3gmfusebffdg3m6qdqgyme5u7e	26	25	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	26	26	4174/$	4174/$	CD
work_3gmfusebffdg3m6qdqgyme5u7e	26	27	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	26	28	see	see	VB
work_3gmfusebffdg3m6qdqgyme5u7e	26	29	front	front	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	26	30	matter	matter	NN
work_3gmfusebffdg3m6qdqgyme5u7e	26	31	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	26	32	2007	2007	CD
work_3gmfusebffdg3m6qdqgyme5u7e	26	33	Elsevier	Elsevier	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	26	34	Ltd.	Ltd.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	26	35	All	all	DT
work_3gmfusebffdg3m6qdqgyme5u7e	26	36	rights	right	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	26	37	reserved	reserve	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	26	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	27	1	doi:10.1016	doi:10.1016	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	27	2	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	27	3	j.eswa.2006.12.018	j.eswa.2006.12.018	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	27	4	*	*	NFP
work_3gmfusebffdg3m6qdqgyme5u7e	27	5	Corresponding	Corresponding	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	27	6	author	author	NN
work_3gmfusebffdg3m6qdqgyme5u7e	27	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	28	1	E	e	NN
work_3gmfusebffdg3m6qdqgyme5u7e	28	2	-	-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	28	3	mail	mail	NN
work_3gmfusebffdg3m6qdqgyme5u7e	28	4	addresses	address	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	28	5	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	28	6	F.Thabtah@hud.ac.uk	F.Thabtah@hud.ac.uk	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	28	7	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	28	8	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	28	9	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	28	10	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	28	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	28	12	P.I.Cowling@-	p.i.cowling@-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	28	13	bradford.ac.uk	bradford.ac.uk	NN
work_3gmfusebffdg3m6qdqgyme5u7e	28	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	28	15	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	28	16	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	28	17	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	28	18	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	29	1	www.elsevier.com/locate/eswa	www.elsevier.com/locate/eswa	ADD
work_3gmfusebffdg3m6qdqgyme5u7e	29	2	Available	available	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	29	3	online	online	RB
work_3gmfusebffdg3m6qdqgyme5u7e	29	4	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	29	5	www.sciencedirect.com	www.sciencedirect.com	ADD
work_3gmfusebffdg3m6qdqgyme5u7e	29	6	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	29	7	Systems	system	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	29	8	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	29	9	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	29	10	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	29	11	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	29	12	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	29	13	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	29	14	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	29	15	Expert	expert	NN
work_3gmfusebffdg3m6qdqgyme5u7e	29	16	Systems	system	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	29	17	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	29	18	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	29	19	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	29	20	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	29	21	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	29	22	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	29	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	30	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	30	2	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	30	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	30	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	31	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	31	2	tends	tend	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	31	3	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	31	4	robustly	robustly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	31	5	find	find	VB
work_3gmfusebffdg3m6qdqgyme5u7e	31	6	good	good	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	31	7	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	31	8	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	31	9	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	31	10	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	31	11	complex	complex	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	31	12	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	31	13	problems	problem	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	31	14	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	31	15	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	31	16	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	31	17	proven	prove	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	31	18	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	31	19	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	31	20	effective	effective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	31	21	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	31	22	many	many	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	31	23	experiments	experiment	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	31	24	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	31	25	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	31	26	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	31	27	Chakhlevitch	Chakhlevitch	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	31	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	31	29	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	31	30	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	31	31	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	31	32	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	31	33	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	31	34	.	.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	31	35	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	31	36	2002	2002	CD
work_3gmfusebffdg3m6qdqgyme5u7e	31	37	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	31	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	32	1	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	32	2	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	32	3	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	32	4	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	32	5	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	32	6	described	describe	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	32	7	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	32	8	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	32	9	super-	super-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	32	10	visor	visor	NN
work_3gmfusebffdg3m6qdqgyme5u7e	32	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	32	12	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	32	13	controls	control	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	32	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	32	15	choice	choice	NN
work_3gmfusebffdg3m6qdqgyme5u7e	32	16	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	32	17	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	32	18	local	local	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	32	19	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	32	20	neighbourhood	neighbourhood	NN
work_3gmfusebffdg3m6qdqgyme5u7e	32	21	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	32	22	choose	choose	VB
work_3gmfusebffdg3m6qdqgyme5u7e	32	23	while	while	IN
work_3gmfusebffdg3m6qdqgyme5u7e	32	24	constructing	construct	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	32	25	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	32	26	solution/	solution/	NN
work_3gmfusebffdg3m6qdqgyme5u7e	32	27	schedule	schedule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	32	28	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	33	1	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	33	2	local	local	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	33	3	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	33	4	neighbour	neighbour	NN
work_3gmfusebffdg3m6qdqgyme5u7e	33	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	33	6	also	also	RB
work_3gmfusebffdg3m6qdqgyme5u7e	33	7	known	know	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	33	8	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	33	9	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	33	10	low-	low-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	33	11	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	33	12	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	33	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	33	14	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	33	15	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	33	16	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	33	17	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	33	18	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	33	19	simple	simple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	33	20	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	33	21	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	33	22	generally	generally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	33	23	yields	yield	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	33	24	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	33	25	small	small	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	33	26	change	change	NN
work_3gmfusebffdg3m6qdqgyme5u7e	33	27	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	33	28	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	33	29	schedule	schedule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	33	30	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	34	1	Often	often	RB
work_3gmfusebffdg3m6qdqgyme5u7e	34	2	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	34	3	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	34	4	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	34	5	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	34	6	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	34	7	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	34	8	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	34	9	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	34	10	normal	normal	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	34	11	methods	method	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	34	12	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	34	13	constructing	construct	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	34	14	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	34	15	schedule	schedule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	34	16	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	34	17	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	34	18	adding	add	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	34	19	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	34	20	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	34	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	34	22	deleting	delete	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	34	23	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	34	24	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	34	25	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	34	26	swapping	swap	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	34	27	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	34	28	events	event	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	34	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	35	1	Fig	fig	NN
work_3gmfusebffdg3m6qdqgyme5u7e	35	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	36	1	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	36	2	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	36	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	36	4	general	general	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	36	5	hype-	hype-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	36	6	rheuristic	rheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	36	7	framework	framework	NN
work_3gmfusebffdg3m6qdqgyme5u7e	36	8	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	36	9	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	36	10	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	36	11	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	36	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	36	13	selects	select	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	36	14	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	36	15	applies	apply	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	36	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	36	17	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	36	18	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	36	19	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	36	20	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	36	21	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	36	22	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	36	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	36	24	largest	large	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	36	25	improve-	improve-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	36	26	ment	ment	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	36	27	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	36	28	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	36	29	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	36	30	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	36	31	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	36	32	i.e.	i.e.	FW
work_3gmfusebffdg3m6qdqgyme5u7e	37	1	LLH5	llh5	NN
work_3gmfusebffdg3m6qdqgyme5u7e	37	2	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	37	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	37	4	figure	figure	NN
work_3gmfusebffdg3m6qdqgyme5u7e	37	5	shown	show	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	37	6	below	below	RB
work_3gmfusebffdg3m6qdqgyme5u7e	37	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	38	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	38	2	arrows	arrow	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	38	3	going	go	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	38	4	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	38	5	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	38	6	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	38	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	38	8	hyper-	hyper-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	38	9	heuristyic	heuristyic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	38	10	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	38	11	Fig	Fig	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	38	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	39	1	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	39	2	represent	represent	VB
work_3gmfusebffdg3m6qdqgyme5u7e	39	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	39	4	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	39	5	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	39	6	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	39	7	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	39	8	heuris-	heuris-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	39	9	tics	tic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	39	10	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	39	11	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	39	12	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	39	13	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	39	14	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	39	15	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	39	16	obtained	obtain	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	39	17	after	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	39	18	trying	try	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	39	19	them	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	39	20	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	39	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	39	22	hyperheuristic	hyperheuristic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	39	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	40	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	40	2	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	3	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	4	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	5	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	40	6	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	40	7	consider	consider	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	40	8	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	40	9	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	40	10	paper	paper	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	11	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	40	12	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	40	13	complex	complex	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	40	14	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	15	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	16	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	40	17	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	40	18	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	40	19	finan-	finan-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	20	cial	cial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	40	21	service	service	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	22	company	company	NN
work_3gmfusebffdg3m6qdqgyme5u7e	40	23	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	40	24	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	40	25	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	40	26	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	40	27	.	.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	40	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	40	29	2002	2002	CD
work_3gmfusebffdg3m6qdqgyme5u7e	40	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	40	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	41	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	41	2	involves	involve	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	41	3	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	41	4	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	41	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	41	6	events	event	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	41	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	41	8	trainers	trainer	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	41	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	41	10	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	41	11	locations	location	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	41	12	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	41	13	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	41	14	scheduled	schedule	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	41	15	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	41	16	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	41	17	period	period	NN
work_3gmfusebffdg3m6qdqgyme5u7e	41	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	41	19	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	41	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	42	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	42	2	task	task	NN
work_3gmfusebffdg3m6qdqgyme5u7e	42	3	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	42	4	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	42	5	create	create	VB
work_3gmfusebffdg3m6qdqgyme5u7e	42	6	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	42	7	timetable	timetable	NN
work_3gmfusebffdg3m6qdqgyme5u7e	42	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	42	9	courses	course	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	42	10	distributed	distribute	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	42	11	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	42	12	several	several	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	42	13	locations	location	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	42	14	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	42	15	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	42	16	specific	specific	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	42	17	period	period	NN
work_3gmfusebffdg3m6qdqgyme5u7e	42	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	42	19	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	42	20	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	42	21	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	42	22	known	know	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	42	23	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	42	24	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	42	25	trainers	trainer	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	42	26	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	43	1	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	43	2	more	more	RBR
work_3gmfusebffdg3m6qdqgyme5u7e	43	3	detailed	detailed	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	43	4	description	description	NN
work_3gmfusebffdg3m6qdqgyme5u7e	43	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	43	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	43	7	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	43	8	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	43	9	presented	present	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	43	10	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	43	11	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	43	12	next	next	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	43	13	section	section	NN
work_3gmfusebffdg3m6qdqgyme5u7e	43	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	44	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	44	2	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	44	3	paper	paper	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	44	5	our	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	44	6	aim	aim	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	7	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	44	8	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	44	9	determine	determine	VB
work_3gmfusebffdg3m6qdqgyme5u7e	44	10	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	44	11	applicable	applicable	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	44	12	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	44	13	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	14	technique	technique	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	15	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	44	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	44	17	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	44	19	deciding	decide	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	44	20	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	44	21	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	44	22	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	44	23	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	24	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	44	25	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	44	26	apply	apply	VB
work_3gmfusebffdg3m6qdqgyme5u7e	44	27	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	44	28	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	44	29	given	give	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	44	30	situation	situation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	31	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	44	32	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	44	33	infor-	infor-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	44	34	mation	mation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	35	about	about	IN
work_3gmfusebffdg3m6qdqgyme5u7e	44	36	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	44	37	performance	performance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	44	38	derived	derive	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	44	39	earlier	early	RBR
work_3gmfusebffdg3m6qdqgyme5u7e	44	40	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	45	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	45	2	particular	particular	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	45	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	45	4	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	45	5	would	would	MD
work_3gmfusebffdg3m6qdqgyme5u7e	45	6	like	like	VB
work_3gmfusebffdg3m6qdqgyme5u7e	45	7	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	45	8	answer	answer	VB
work_3gmfusebffdg3m6qdqgyme5u7e	45	9	questions	question	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	45	10	like	like	IN
work_3gmfusebffdg3m6qdqgyme5u7e	45	11	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	45	12	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	45	13	learning	learn	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	45	14	algorithm	algorithm	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	45	15	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	45	16	derive	derive	VB
work_3gmfusebffdg3m6qdqgyme5u7e	45	17	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	45	18	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	45	19	could	could	MD
work_3gmfusebffdg3m6qdqgyme5u7e	45	20	direct	direct	VB
work_3gmfusebffdg3m6qdqgyme5u7e	45	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	45	22	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	45	23	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	45	24	order	order	NN
work_3gmfusebffdg3m6qdqgyme5u7e	45	25	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	45	26	produce	produce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	45	27	good	good	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	45	28	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	45	29	?	?	.
work_3gmfusebffdg3m6qdqgyme5u7e	46	1	To	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	46	2	achieve	achieve	VB
work_3gmfusebffdg3m6qdqgyme5u7e	46	3	our	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	46	4	goal	goal	NN
work_3gmfusebffdg3m6qdqgyme5u7e	46	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	6	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	46	7	compare	compare	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	46	8	three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	46	9	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	46	10	classi-	classi-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	46	11	fication	fication	NN
work_3gmfusebffdg3m6qdqgyme5u7e	46	12	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	46	13	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	15	Liu	Liu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	17	Hsu	Hsu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	19	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	46	20	Ma	Ma	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	22	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	46	23	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	24	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	25	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	26	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	27	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	29	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	30	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	31	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	46	32	Peng	Peng	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	33	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	34	2005	2005	CD
work_3gmfusebffdg3m6qdqgyme5u7e	46	35	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	36	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	37	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	38	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	39	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	40	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	41	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	42	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	43	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	46	44	Peng	Peng	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	45	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	46	2004	2004	CD
work_3gmfusebffdg3m6qdqgyme5u7e	46	47	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	48	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	46	49	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	46	50	popular	popular	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	46	51	traditional	traditional	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	46	52	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	46	53	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	46	54	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	55	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	56	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	57	Frank	Frank	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	58	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	46	59	Witten	Witten	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	60	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	61	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	46	62	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	63	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	46	64	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	65	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	66	Cohen	Cohen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	67	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	68	1995	1995	CD
work_3gmfusebffdg3m6qdqgyme5u7e	46	69	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	70	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	71	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	46	72	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	46	73	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	46	74	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	46	75	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	46	76	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	46	77	hybrid	hybrid	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	46	78	hyperhueristic	hyperhueristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	46	79	called	call	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	46	80	Peckish	Peckish	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	81	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	82	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	83	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	46	84	Chakhlevitch	Chakhlevitch	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	46	85	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	86	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	46	87	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	46	88	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	46	89	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	46	90	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	46	91	trainer	trainer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	46	92	scheduling	schedule	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	46	93	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	46	94	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	47	1	We	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	47	2	analyse	analyse	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	47	3	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	47	4	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	47	5	several	several	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	47	6	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	47	7	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	47	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	47	9	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	47	10	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	47	11	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	47	12	combines	combine	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	47	13	greedy	greedy	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	47	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	47	15	best	well	RBS
work_3gmfusebffdg3m6qdqgyme5u7e	47	16	first	first	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	47	17	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	47	18	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	47	19	ran-	ran-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	47	20	dom	dom	NN
work_3gmfusebffdg3m6qdqgyme5u7e	47	21	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	47	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	48	1	We	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	48	2	identify	identify	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	48	3	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	48	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	48	5	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	48	6	task	task	NN
work_3gmfusebffdg3m6qdqgyme5u7e	48	7	involves	involve	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	48	8	classifying	classify	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	48	9	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	48	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	48	11	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	48	12	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	48	13	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	48	14	terms	term	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	48	15	whether	whether	IN
work_3gmfusebffdg3m6qdqgyme5u7e	48	16	they	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	48	17	improved	improve	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	48	18	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	48	19	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	48	20	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	48	21	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	48	22	old	old	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	48	23	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	48	24	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	48	25	order	order	NN
work_3gmfusebffdg3m6qdqgyme5u7e	48	26	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	48	27	produce	produce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	48	28	useful	useful	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	48	29	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	48	30	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	49	1	These	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	49	2	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	49	3	then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	49	4	will	will	MD
work_3gmfusebffdg3m6qdqgyme5u7e	49	5	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	49	6	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	49	7	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	49	8	decide	decide	VB
work_3gmfusebffdg3m6qdqgyme5u7e	49	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	49	10	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	49	11	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	49	12	‘	'	``
work_3gmfusebffdg3m6qdqgyme5u7e	49	13	‘	'	``
work_3gmfusebffdg3m6qdqgyme5u7e	49	14	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	49	15	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	49	16	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	49	17	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	49	18	’	'	''
work_3gmfusebffdg3m6qdqgyme5u7e	49	19	’	'	''
work_3gmfusebffdg3m6qdqgyme5u7e	49	20	while	while	IN
work_3gmfusebffdg3m6qdqgyme5u7e	49	21	con-	con-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	49	22	structing	structe	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	49	23	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	49	24	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	49	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	50	1	We	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	50	2	use	use	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	50	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	50	4	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	50	5	algo-	algo-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	50	6	rithms	rithms	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	50	7	mentioned	mention	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	50	8	above	above	RB
work_3gmfusebffdg3m6qdqgyme5u7e	50	9	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	50	10	learn	learn	VB
work_3gmfusebffdg3m6qdqgyme5u7e	50	11	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	50	12	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	50	13	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	51	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	51	2	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	51	3	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	51	4	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	51	5	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	51	6	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	51	7	hyperheu-	hyperheu-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	51	8	ristic	ristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	51	9	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	51	10	utilised	utilise	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	51	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	51	12	solve	solve	VB
work_3gmfusebffdg3m6qdqgyme5u7e	51	13	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	51	14	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	51	15	discussed	discuss	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	51	16	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	51	17	Section	section	NN
work_3gmfusebffdg3m6qdqgyme5u7e	51	18	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	51	19	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	52	1	Section	section	NN
work_3gmfusebffdg3m6qdqgyme5u7e	52	2	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	52	3	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	52	4	devoted	devote	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	52	5	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	52	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	52	7	applicability	applicability	NN
work_3gmfusebffdg3m6qdqgyme5u7e	52	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	52	9	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	52	10	mining	mine	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	52	11	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	52	12	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	52	13	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	52	14	predict	predict	VB
work_3gmfusebffdg3m6qdqgyme5u7e	52	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	52	16	behaviour	behaviour	NN
work_3gmfusebffdg3m6qdqgyme5u7e	52	17	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	52	18	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	52	19	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	52	20	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	52	21	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	52	22	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	52	23	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	52	24	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	52	25	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	52	26	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	52	27	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	53	1	Data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	53	2	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	53	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	53	4	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	53	5	features	feature	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	53	6	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	53	7	experimental	experimental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	53	8	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	53	9	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	53	10	presented	present	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	53	11	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	53	12	Section	section	NN
work_3gmfusebffdg3m6qdqgyme5u7e	53	13	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	53	14	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	53	15	finally	finally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	53	16	conclusions	conclusion	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	53	17	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	53	18	given	give	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	53	19	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	53	20	Section	section	NN
work_3gmfusebffdg3m6qdqgyme5u7e	53	21	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	53	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	54	1	2	2	LS
work_3gmfusebffdg3m6qdqgyme5u7e	54	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	55	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	55	2	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	55	3	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	55	4	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	55	5	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	55	6	hyperheuristics	hyperheuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	55	7	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	55	8	much	much	RB
work_3gmfusebffdg3m6qdqgyme5u7e	55	9	simpler	simple	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	55	10	version	version	NN
work_3gmfusebffdg3m6qdqgyme5u7e	55	11	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	55	12	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	55	13	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	55	14	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	55	15	prob-	prob-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	55	16	lem	lem	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	55	17	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	55	18	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	55	19	solved	solve	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	55	20	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	55	21	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	55	22	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	55	23	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	55	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	56	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	56	2	2002	2002	CD
work_3gmfusebffdg3m6qdqgyme5u7e	56	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	56	4	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	56	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	56	6	Hyper-	Hyper-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	56	7	Genetic	genetic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	56	8	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	56	9	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	57	1	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	57	2	larger	large	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	57	3	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	57	4	more	more	RBR
work_3gmfusebffdg3m6qdqgyme5u7e	57	5	complex	complex	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	57	6	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	57	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	57	8	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	57	9	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	57	10	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	57	11	described	describe	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	57	12	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	57	13	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	57	14	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	57	15	Chakhlevitch	Chakhlevitch	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	57	16	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	57	17	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	57	18	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	57	19	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	57	20	summarised	summarise	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	57	21	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	57	22	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	57	23	section	section	NN
work_3gmfusebffdg3m6qdqgyme5u7e	57	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	58	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	58	2	involves	involve	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	58	3	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	58	4	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	58	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	58	6	events	event	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	58	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	58	8	trainers	trainer	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	58	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	58	10	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	58	11	locations	location	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	58	12	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	58	13	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	58	14	scheduled	schedule	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	58	15	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	58	16	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	58	17	period	period	NN
work_3gmfusebffdg3m6qdqgyme5u7e	58	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	58	19	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	58	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	59	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	59	2	task	task	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	3	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	59	4	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	59	5	create	create	VB
work_3gmfusebffdg3m6qdqgyme5u7e	59	6	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	59	7	timetable	timetable	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	59	9	geo-	geo-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	59	10	graphically	graphically	RB
work_3gmfusebffdg3m6qdqgyme5u7e	59	11	distributed	distribute	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	59	12	courses	course	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	59	13	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	59	14	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	59	15	period	period	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	16	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	59	17	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	18	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	59	19	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	59	20	trainers	trainer	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	59	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	59	22	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	59	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	59	24	aim	aim	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	25	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	59	26	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	59	27	maximise	maximise	VB
work_3gmfusebffdg3m6qdqgyme5u7e	59	28	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	59	29	total	total	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	59	30	pri-	pri-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	59	31	ority	ority	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	32	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	59	33	courses	course	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	59	34	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	59	35	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	59	36	minimise	minimise	VB
work_3gmfusebffdg3m6qdqgyme5u7e	59	37	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	59	38	amount	amount	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	39	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	59	40	travel	travel	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	41	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	59	42	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	59	43	trainer	trainer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	59	44	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	60	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	60	2	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	60	3	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	60	4	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	60	5	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	60	6	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	60	7	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	60	8	num-	num-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	60	9	ber	ber	NN
work_3gmfusebffdg3m6qdqgyme5u7e	60	10	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	60	11	constraints	constraint	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	60	12	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	60	13	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	60	14	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	60	15	•	•	VB
work_3gmfusebffdg3m6qdqgyme5u7e	60	16	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	60	17	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	60	18	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	60	19	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	60	20	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	60	21	scheduled	schedule	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	60	22	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	60	23	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	60	24	location	location	NN
work_3gmfusebffdg3m6qdqgyme5u7e	60	25	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	60	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	60	27	available	available	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	60	28	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	60	29	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	60	30	locations	location	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	60	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	61	1	•	•	VB
work_3gmfusebffdg3m6qdqgyme5u7e	61	2	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	61	3	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	61	4	must	must	MD
work_3gmfusebffdg3m6qdqgyme5u7e	61	5	start	start	VB
work_3gmfusebffdg3m6qdqgyme5u7e	61	6	within	within	IN
work_3gmfusebffdg3m6qdqgyme5u7e	61	7	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	61	8	specified	specify	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	61	9	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	61	10	period	period	NN
work_3gmfusebffdg3m6qdqgyme5u7e	61	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	62	1	•	•	VB
work_3gmfusebffdg3m6qdqgyme5u7e	62	2	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	62	3	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	62	4	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	62	5	occur	occur	VB
work_3gmfusebffdg3m6qdqgyme5u7e	62	6	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	62	7	most	most	RBS
work_3gmfusebffdg3m6qdqgyme5u7e	62	8	once	once	RB
work_3gmfusebffdg3m6qdqgyme5u7e	62	9	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	63	1	•	•	VB
work_3gmfusebffdg3m6qdqgyme5u7e	63	2	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	63	3	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	63	4	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	63	5	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	63	6	delivered	deliver	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	63	7	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	63	8	competent	competent	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	63	9	trainers	trainer	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	63	10	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	63	11	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	63	12	available	available	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	63	13	trainers	trainer	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	63	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	64	1	•	•	VB
work_3gmfusebffdg3m6qdqgyme5u7e	64	2	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	64	3	location	location	NN
work_3gmfusebffdg3m6qdqgyme5u7e	64	4	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	64	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	64	6	limited	limited	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	64	7	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	64	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	64	9	rooms	room	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	64	10	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	64	11	rooms	room	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	64	12	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	64	13	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	64	14	capacities	capacity	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	64	15	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	64	16	capabilities	capability	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	64	17	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	65	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	65	2	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	65	3	used	use	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	65	4	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	65	5	build	build	VB
work_3gmfusebffdg3m6qdqgyme5u7e	65	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	65	7	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	65	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	65	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	65	10	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	65	11	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	65	12	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	65	13	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	65	14	real	real	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	65	15	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	65	16	provided	provide	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	65	17	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	65	18	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	65	19	financial	financial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	65	20	firm	firm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	65	21	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	65	22	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	65	23	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	65	24	given	give	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	65	25	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	65	26	50	50	CD
work_3gmfusebffdg3m6qdqgyme5u7e	65	27	trainers	trainer	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	65	28	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	65	29	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	65	30	period	period	NN
work_3gmfusebffdg3m6qdqgyme5u7e	65	31	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	65	32	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	65	33	months	month	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	65	34	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	65	35	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	65	36	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	65	37	locations	location	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	65	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	66	1	Further	further	RB
work_3gmfusebffdg3m6qdqgyme5u7e	66	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	66	3	there	there	EX
work_3gmfusebffdg3m6qdqgyme5u7e	66	4	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	66	5	about	about	RB
work_3gmfusebffdg3m6qdqgyme5u7e	66	6	200	200	CD
work_3gmfusebffdg3m6qdqgyme5u7e	66	7	events	event	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	66	8	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	66	9	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	66	10	scheduled	schedule	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	66	11	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	66	12	95	95	CD
work_3gmfusebffdg3m6qdqgyme5u7e	66	13	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	66	14	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	66	15	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	66	16	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	66	17	heuris-	heuris-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	66	18	tics	tic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	66	19	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	66	20	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	66	21	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	66	22	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	66	23	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	66	24	build	build	VB
work_3gmfusebffdg3m6qdqgyme5u7e	66	25	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	66	26	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	66	27	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	67	1	However	however	RB
work_3gmfusebffdg3m6qdqgyme5u7e	67	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	67	3	solu-	solu-	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	67	4	tions	tion	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	67	5	given	give	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	67	6	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	67	7	us	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	67	8	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	67	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	67	10	authors	author	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	67	11	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	67	12	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	67	13	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	67	14	Chakhlevitch	Chakhlevitch	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	67	15	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	67	16	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	67	17	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	67	18	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	67	19	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	67	20	constructed	construct	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	67	21	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	67	22	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	67	23	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	67	24	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	67	25	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	67	26	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	67	27	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	67	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	67	29	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	67	30	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	67	31	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	67	32	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	67	33	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	67	34	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	67	35	repre-	repre-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	67	36	sents	sent	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	67	37	local	local	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	67	38	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	67	39	neighbourhoods	neighbourhood	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	67	40	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	68	1	For	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	68	2	example	example	NN
work_3gmfusebffdg3m6qdqgyme5u7e	68	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	68	4	selecting	select	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	68	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	68	6	location	location	NN
work_3gmfusebffdg3m6qdqgyme5u7e	68	7	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	68	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	68	9	lowest	low	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	68	10	possible	possible	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	68	11	travel	travel	NN
work_3gmfusebffdg3m6qdqgyme5u7e	68	12	penalty	penalty	NN
work_3gmfusebffdg3m6qdqgyme5u7e	68	13	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	68	14	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	68	15	par-	par-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	68	16	ticular	ticular	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	68	17	trainer	trainer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	68	18	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	68	19	deliver	deliver	VB
work_3gmfusebffdg3m6qdqgyme5u7e	68	20	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	68	21	course	course	NN
work_3gmfusebffdg3m6qdqgyme5u7e	68	22	as	as	RB
work_3gmfusebffdg3m6qdqgyme5u7e	68	23	early	early	RB
work_3gmfusebffdg3m6qdqgyme5u7e	68	24	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	68	25	possible	possible	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	68	26	corre-	corre-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	68	27	sponds	spond	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	68	28	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	68	29	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	68	30	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	68	31	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	68	32	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	68	33	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	68	34	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	69	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	69	2	solving	solve	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	69	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	69	4	trainer	trainer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	69	5	scheduling	schedule	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	69	6	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	69	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	69	8	three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	69	9	hype-	hype-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	69	10	rheuristic	rheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	69	11	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	69	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	69	13	random	random	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	69	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	69	15	greedy	greedy	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	69	16	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	69	17	hybrid	hybrid	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	69	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	69	19	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	69	20	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	69	21	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	69	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	70	1	All	all	DT
work_3gmfusebffdg3m6qdqgyme5u7e	70	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	70	3	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	70	4	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	70	5	aim	aim	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	70	6	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	70	7	manage	manage	VB
work_3gmfusebffdg3m6qdqgyme5u7e	70	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	70	9	choice	choice	NN
work_3gmfusebffdg3m6qdqgyme5u7e	70	10	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	70	11	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	70	12	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	70	13	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	70	14	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	70	15	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	70	16	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	70	17	choose	choose	VB
work_3gmfusebffdg3m6qdqgyme5u7e	70	18	during	during	IN
work_3gmfusebffdg3m6qdqgyme5u7e	70	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	70	20	process	process	NN
work_3gmfusebffdg3m6qdqgyme5u7e	70	21	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	70	22	building	build	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	70	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	70	24	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	70	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	71	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	71	2	random	random	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	71	3	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	71	4	LLH1	LLH1	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	71	5	LLH2	LLH2	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	71	6	LLH5LLH3	LLH5LLH3	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	71	7	LLH4	LLH4	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	71	8	LLH6	LLH6	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	71	9	Hyperheurisic	Hyperheurisic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	71	10	Fig	Fig	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	71	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	72	1	1	1	LS
work_3gmfusebffdg3m6qdqgyme5u7e	72	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	73	1	Hypreheuristic	hypreheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	73	2	general	general	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	73	3	framework	framework	NN
work_3gmfusebffdg3m6qdqgyme5u7e	73	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	74	1	1094	1094	CD
work_3gmfusebffdg3m6qdqgyme5u7e	74	2	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	74	3	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	74	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	74	5	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	74	6	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	74	7	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	74	8	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	74	9	Systems	Systems	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	74	10	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	74	11	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	74	12	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	74	13	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	74	14	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	74	15	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	74	16	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	74	17	selects	select	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	74	18	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	74	19	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	74	20	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	74	21	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	74	22	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	74	23	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	74	24	random	random	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	74	25	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	74	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	74	27	available	available	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	74	28	ones	one	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	74	29	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	74	30	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	74	31	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	74	32	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	75	1	At	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	75	2	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	75	3	choice	choice	NN
work_3gmfusebffdg3m6qdqgyme5u7e	75	4	point	point	NN
work_3gmfusebffdg3m6qdqgyme5u7e	75	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	75	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	75	7	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	75	8	space	space	NN
work_3gmfusebffdg3m6qdqgyme5u7e	75	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	75	10	commonly	commonly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	75	11	all	all	DT
work_3gmfusebffdg3m6qdqgyme5u7e	75	12	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	75	13	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	75	14	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	75	15	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	75	16	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	75	17	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	75	18	equal	equal	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	75	19	chance	chance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	75	20	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	75	21	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	75	22	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	75	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	76	1	On	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	76	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	76	3	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	76	4	hand	hand	NN
work_3gmfusebffdg3m6qdqgyme5u7e	76	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	76	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	76	7	greedy	greedy	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	76	8	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	76	9	selects	select	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	76	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	76	11	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	76	12	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	76	13	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	76	14	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	76	15	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	76	16	yields	yield	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	76	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	76	18	big-	big-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	76	19	gest	g	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	76	20	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	76	21	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	76	22	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	76	23	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	76	24	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	76	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	77	1	If	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	77	2	none	none	NN
work_3gmfusebffdg3m6qdqgyme5u7e	77	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	77	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	77	5	available	available	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	77	6	ones	one	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	77	7	improve	improve	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	77	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	77	9	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	77	10	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	77	11	then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	77	12	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	77	13	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	77	14	will	will	MD
work_3gmfusebffdg3m6qdqgyme5u7e	77	15	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	77	16	trapped	trap	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	77	17	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	77	18	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	77	19	local	local	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	77	20	optimum	optimum	NN
work_3gmfusebffdg3m6qdqgyme5u7e	77	21	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	78	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	78	2	hybrid	hybrid	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	78	3	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	78	4	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	78	5	named	name	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	78	6	Peckish	Peckish	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	78	7	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	78	8	consists	consist	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	78	9	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	78	10	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	78	11	combination	combination	NN
work_3gmfusebffdg3m6qdqgyme5u7e	78	12	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	78	13	greedy	greedy	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	78	14	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	78	15	random	random	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	78	16	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	78	17	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	79	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	79	2	builds	build	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	79	3	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	79	4	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	79	5	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	79	6	selecting	select	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	79	7	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	79	8	single	single	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	79	9	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	79	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	79	11	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	79	12	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	79	13	during	during	IN
work_3gmfusebffdg3m6qdqgyme5u7e	79	14	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	79	15	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	79	16	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	79	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	79	18	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	79	19	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	79	20	order	order	NN
work_3gmfusebffdg3m6qdqgyme5u7e	79	21	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	79	22	apply	apply	VB
work_3gmfusebffdg3m6qdqgyme5u7e	79	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	80	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	80	2	choice	choice	NN
work_3gmfusebffdg3m6qdqgyme5u7e	80	3	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	80	4	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	80	5	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	80	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	80	7	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	80	8	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	80	9	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	80	10	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	80	11	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	80	12	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	80	13	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	80	14	largest	large	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	80	15	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	80	16	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	80	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	80	18	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	80	19	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	80	20	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	80	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	80	22	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	80	23	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	80	24	if	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	80	25	one	one	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	80	26	exists	exist	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	80	27	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	80	28	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	81	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	81	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	81	3	case	case	NN
work_3gmfusebffdg3m6qdqgyme5u7e	81	4	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	81	5	none	none	NN
work_3gmfusebffdg3m6qdqgyme5u7e	81	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	81	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	81	8	available	available	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	81	9	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	81	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	81	11	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	81	12	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	81	13	improve	improve	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	81	14	upon	upon	IN
work_3gmfusebffdg3m6qdqgyme5u7e	81	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	81	16	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	81	17	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	81	18	value	value	NN
work_3gmfusebffdg3m6qdqgyme5u7e	81	19	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	81	20	then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	81	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	81	22	choice	choice	NN
work_3gmfusebffdg3m6qdqgyme5u7e	81	23	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	81	24	random	random	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	81	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	82	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	82	2	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	82	3	paper	paper	NN
work_3gmfusebffdg3m6qdqgyme5u7e	82	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	82	5	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	82	6	choose	choose	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	82	7	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	82	8	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	82	9	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	82	10	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	82	11	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	82	12	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	82	13	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	82	14	can-	can-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	82	15	didate	didate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	82	16	list	list	NN
work_3gmfusebffdg3m6qdqgyme5u7e	82	17	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	82	18	good	good	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	82	19	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	82	20	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	82	21	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	82	22	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	82	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	83	1	By	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	83	2	changing	change	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	83	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	83	4	length	length	NN
work_3gmfusebffdg3m6qdqgyme5u7e	83	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	83	6	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	83	7	candidate	candidate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	83	8	list	list	NN
work_3gmfusebffdg3m6qdqgyme5u7e	83	9	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	83	10	considering	consider	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	83	11	how	how	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	83	12	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	83	13	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	83	14	merged	merge	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	83	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	83	16	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	83	17	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	83	18	trade	trade	VB
work_3gmfusebffdg3m6qdqgyme5u7e	83	19	off	off	RP
work_3gmfusebffdg3m6qdqgyme5u7e	83	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	83	21	degree	degree	NN
work_3gmfusebffdg3m6qdqgyme5u7e	83	22	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	83	23	greediness	greediness	NN
work_3gmfusebffdg3m6qdqgyme5u7e	83	24	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	83	25	ran-	ran-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	83	26	domness	domness	NN
work_3gmfusebffdg3m6qdqgyme5u7e	83	27	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	83	28	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	83	29	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	83	30	hyperheuristic	hyperheuristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	83	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	84	1	As	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	84	2	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	84	3	result	result	NN
work_3gmfusebffdg3m6qdqgyme5u7e	84	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	84	5	several	several	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	84	6	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	84	7	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	84	8	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	84	9	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	84	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	84	11	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	84	12	hyperheuristic	hyperheuristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	84	13	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	84	14	investigated	investigate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	84	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	85	1	We	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	85	2	analysed	analyse	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	85	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	85	4	strategy	strategy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	5	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	85	6	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	85	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	85	8	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	85	9	hyperheu-	hyperheu-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	10	ristic	ristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	85	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	85	12	construct	construct	VB
work_3gmfusebffdg3m6qdqgyme5u7e	85	13	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	85	14	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	15	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	85	16	observed	observe	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	85	17	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	85	18	all	all	DT
work_3gmfusebffdg3m6qdqgyme5u7e	85	19	available	available	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	85	20	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	85	21	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	85	22	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	23	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	85	24	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	85	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	85	26	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	27	must	must	MD
work_3gmfusebffdg3m6qdqgyme5u7e	85	28	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	85	29	tested	test	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	85	30	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	85	31	order	order	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	32	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	85	33	record	record	VB
work_3gmfusebffdg3m6qdqgyme5u7e	85	34	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	85	35	effect	effect	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	36	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	85	37	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	85	38	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	85	39	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	40	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	85	41	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	85	42	iter-	iter-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	85	43	ation	ation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	44	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	85	45	apply	apply	VB
work_3gmfusebffdg3m6qdqgyme5u7e	85	46	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	85	47	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	85	48	single	single	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	85	49	one	one	NN
work_3gmfusebffdg3m6qdqgyme5u7e	85	50	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	86	1	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	86	2	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	86	3	could	could	MD
work_3gmfusebffdg3m6qdqgyme5u7e	86	4	pro-	pro-	VB
work_3gmfusebffdg3m6qdqgyme5u7e	86	5	vide	vide	VB
work_3gmfusebffdg3m6qdqgyme5u7e	86	6	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	86	7	much	much	RB
work_3gmfusebffdg3m6qdqgyme5u7e	86	8	quicker	quick	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	86	9	prediction	prediction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	86	10	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	86	11	effective	effective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	86	12	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	86	13	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	86	14	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	86	15	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	86	16	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	86	17	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	86	18	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	86	19	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	87	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	87	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	87	3	next	next	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	87	4	section	section	NN
work_3gmfusebffdg3m6qdqgyme5u7e	87	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	87	6	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	87	7	investi-	investi-	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	87	8	gate	gate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	87	9	some	some	DT
work_3gmfusebffdg3m6qdqgyme5u7e	87	10	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	87	11	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	87	12	popular	popular	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	87	13	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	87	14	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	87	15	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	87	16	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	87	17	learn-	learn-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	87	18	ing	e	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	87	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	87	20	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	87	21	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	87	22	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	87	23	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	87	24	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	87	25	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	87	26	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	87	27	improve	improve	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	87	28	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	87	29	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	87	30	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	87	31	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	87	32	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	87	33	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	87	34	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	87	35	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	87	36	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	87	37	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	87	38	hyperhueristic	hyperhueristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	87	39	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	88	1	3	3	LS
work_3gmfusebffdg3m6qdqgyme5u7e	88	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	89	1	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	89	2	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	3	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	89	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	89	5	selection	selection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	89	7	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	89	8	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	89	9	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	10	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	89	11	Since	since	IN
work_3gmfusebffdg3m6qdqgyme5u7e	89	12	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	89	13	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	89	14	aiming	aim	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	89	15	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	89	16	use	use	VB
work_3gmfusebffdg3m6qdqgyme5u7e	89	17	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	18	derived	derive	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	89	19	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	89	20	old	old	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	89	21	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	89	22	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	89	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	89	24	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	25	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	89	26	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	89	27	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	28	seems	seem	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	89	29	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	89	30	appropri-	appropri-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	89	31	ate	ate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	32	technique	technique	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	33	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	89	34	extract	extract	VB
work_3gmfusebffdg3m6qdqgyme5u7e	89	35	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	89	36	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	89	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	90	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	90	2	next	next	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	90	3	task	task	NN
work_3gmfusebffdg3m6qdqgyme5u7e	90	4	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	90	5	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	90	6	identify	identify	VB
work_3gmfusebffdg3m6qdqgyme5u7e	90	7	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	90	8	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	90	9	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	90	10	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	90	11	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	90	12	applicable	applicable	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	90	13	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	90	14	extract	extract	VB
work_3gmfusebffdg3m6qdqgyme5u7e	90	15	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	90	16	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	90	17	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	90	18	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	90	19	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	90	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	90	21	Peck-	Peck-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	90	22	ish	ish	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	90	23	hyperheuristic	hyperheuristic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	90	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	91	1	As	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	91	2	mentioned	mention	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	91	3	earlier	early	RBR
work_3gmfusebffdg3m6qdqgyme5u7e	91	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	91	5	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	91	6	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	91	7	hype-	hype-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	91	8	rheuristic	rheuristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	91	9	usually	usually	RB
work_3gmfusebffdg3m6qdqgyme5u7e	91	10	selects	select	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	91	11	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	91	12	applies	apply	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	91	13	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	91	14	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	91	15	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	91	16	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	91	17	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	91	18	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	91	19	leads	lead	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	91	20	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	91	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	91	22	largest	large	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	91	23	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	91	24	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	91	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	91	26	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	91	27	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	91	28	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	91	29	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	91	30	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	91	31	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	91	32	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	91	33	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	91	34	want	want	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	91	35	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	91	36	find	find	VB
work_3gmfusebffdg3m6qdqgyme5u7e	91	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	92	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	92	2	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	92	3	words	word	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	92	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	92	5	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	92	6	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	92	7	learn	learn	VB
work_3gmfusebffdg3m6qdqgyme5u7e	92	8	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	92	9	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	92	10	predict	predict	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	92	11	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	92	12	performance	performance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	92	13	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	92	14	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	92	15	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	92	16	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	92	17	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	92	18	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	92	19	some	some	DT
work_3gmfusebffdg3m6qdqgyme5u7e	92	20	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	92	21	runs	run	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	92	22	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	92	23	use	use	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	92	24	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	92	25	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	92	26	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	92	27	forecast	forecast	VB
work_3gmfusebffdg3m6qdqgyme5u7e	92	28	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	92	29	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	92	30	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	92	31	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	92	32	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	92	33	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	92	34	hyperheu-	hyperheu-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	92	35	ristic	ristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	92	36	should	should	MD
work_3gmfusebffdg3m6qdqgyme5u7e	92	37	choose	choose	VB
work_3gmfusebffdg3m6qdqgyme5u7e	92	38	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	92	39	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	92	40	runs	run	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	92	41	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	93	1	Since	since	IN
work_3gmfusebffdg3m6qdqgyme5u7e	93	2	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	93	3	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	93	4	predicting	predict	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	93	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	93	6	particular	particular	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	93	7	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	93	8	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	93	9	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	93	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	93	11	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	93	12	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	93	13	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	93	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	93	15	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	93	16	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	93	17	result	result	NN
work_3gmfusebffdg3m6qdqgyme5u7e	93	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	93	19	supervised	supervise	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	93	20	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	93	21	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	93	22	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	93	23	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	93	24	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	93	25	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	93	26	appropriate	appropriate	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	93	27	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	94	1	There	there	EX
work_3gmfusebffdg3m6qdqgyme5u7e	94	2	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	94	3	many	many	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	94	4	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	94	5	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	94	6	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	94	7	extracting	extract	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	94	8	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	94	9	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	94	10	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	94	11	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	94	12	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	94	13	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	94	14	studied	study	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	94	15	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	94	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	94	17	litera-	litera-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	94	18	ture	ture	NN
work_3gmfusebffdg3m6qdqgyme5u7e	94	19	Cendrowska	Cendrowska	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	94	20	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	94	21	1987	1987	CD
work_3gmfusebffdg3m6qdqgyme5u7e	94	22	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	94	23	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	94	24	Quinlan	Quinlan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	94	25	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	94	26	1993	1993	CD
work_3gmfusebffdg3m6qdqgyme5u7e	94	27	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	94	28	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	94	29	Cohen	Cohen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	94	30	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	94	31	1995	1995	CD
work_3gmfusebffdg3m6qdqgyme5u7e	94	32	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	94	33	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	95	1	Three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	95	2	common	common	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	95	3	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	95	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	5	divide	divide	NN
work_3gmfusebffdg3m6qdqgyme5u7e	95	6	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	95	7	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	95	8	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	95	9	conquer	conquer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	95	10	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	95	11	Quinlan	Quinlan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	13	1987	1987	CD
work_3gmfusebffdg3m6qdqgyme5u7e	95	14	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	95	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	16	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	95	17	induction	induction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	95	18	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	95	19	Cohen	Cohen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	21	1995	1995	CD
work_3gmfusebffdg3m6qdqgyme5u7e	95	22	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	95	23	Furnkranz	Furnkranz	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	24	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	95	25	Widmer	Widmer	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	26	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	27	1994	1994	CD
work_3gmfusebffdg3m6qdqgyme5u7e	95	28	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	95	29	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	95	30	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	95	31	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	95	32	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	95	33	Li	Li	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	34	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	35	Han	Han	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	36	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	37	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	95	38	Pei	Pei	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	39	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	40	2001	2001	CD
work_3gmfusebffdg3m6qdqgyme5u7e	95	41	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	95	42	Liu	Liu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	43	et	et	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	44	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	45	.	.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	95	46	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	95	47	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	95	48	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	95	49	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	95	50	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	95	51	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	95	52	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	95	53	our	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	95	54	base	base	NN
work_3gmfusebffdg3m6qdqgyme5u7e	95	55	comparison	comparison	NN
work_3gmfusebffdg3m6qdqgyme5u7e	95	56	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	96	1	Further	further	RB
work_3gmfusebffdg3m6qdqgyme5u7e	96	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	3	five	five	CD
work_3gmfusebffdg3m6qdqgyme5u7e	96	4	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	96	5	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	96	6	related	relate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	96	7	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	96	8	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	96	9	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	96	10	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	96	11	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	96	12	compared	compare	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	96	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	14	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	96	15	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	96	16	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	17	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	18	Frank	Frank	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	19	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	96	20	Witten	Witten	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	22	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	96	23	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	24	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	25	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	26	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	27	Cohen	Cohen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	29	1995	1995	CD
work_3gmfusebffdg3m6qdqgyme5u7e	96	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	31	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	32	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	33	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	34	Liu	Liu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	35	et	et	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	36	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	37	.	.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	38	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	39	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	96	40	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	41	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	42	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	43	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	44	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	45	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	96	46	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	47	.	.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	48	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	49	2005	2005	CD
work_3gmfusebffdg3m6qdqgyme5u7e	96	50	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	51	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	96	52	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	53	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	54	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	55	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	96	56	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	57	.	.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	96	58	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	96	59	2004	2004	CD
work_3gmfusebffdg3m6qdqgyme5u7e	96	60	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	96	61	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	97	1	Our	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	97	2	choice	choice	NN
work_3gmfusebffdg3m6qdqgyme5u7e	97	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	97	4	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	97	5	methods	method	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	97	6	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	97	7	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	97	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	97	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	97	10	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	97	11	schemes	scheme	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	97	12	they	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	97	13	use	use	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	97	14	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	97	15	learning	learn	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	97	16	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	97	17	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	97	18	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	97	19	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	97	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	98	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	98	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	98	3	next	next	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	98	4	subsection	subsection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	98	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	98	6	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	98	7	briefly	briefly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	98	8	survey	survey	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	98	9	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	98	10	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	98	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	99	1	3.1	3.1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	99	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	100	1	Associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	100	2	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	100	3	Associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	100	4	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	100	5	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	100	6	employ	employ	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	100	7	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	100	8	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	100	9	discovery	discovery	NN
work_3gmfusebffdg3m6qdqgyme5u7e	100	10	methods	method	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	100	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	100	12	find	find	VB
work_3gmfusebffdg3m6qdqgyme5u7e	100	13	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	100	14	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	100	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	101	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	101	2	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	101	3	was	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	101	4	introduced	introduce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	101	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	101	6	1997	1997	CD
work_3gmfusebffdg3m6qdqgyme5u7e	101	7	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	101	8	Ali	Ali	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	101	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	101	10	Manganaris	Manganaris	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	101	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	101	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	101	13	Srikant	Srikant	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	101	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	101	15	1997	1997	CD
work_3gmfusebffdg3m6qdqgyme5u7e	101	16	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	101	17	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	101	18	produce	produce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	101	19	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	101	20	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	101	21	describing	describe	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	101	22	relationships	relationship	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	101	23	between	between	IN
work_3gmfusebffdg3m6qdqgyme5u7e	101	24	attri-	attri-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	101	25	bute	bute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	101	26	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	101	27	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	101	28	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	101	29	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	101	30	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	101	31	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	101	32	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	101	33	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	101	34	prediction	prediction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	101	35	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	101	36	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	101	37	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	101	38	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	101	39	ultimate	ultimate	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	101	40	goal	goal	NN
work_3gmfusebffdg3m6qdqgyme5u7e	101	41	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	101	42	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	101	43	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	102	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	102	2	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	102	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	102	4	asso-	asso-	IN
work_3gmfusebffdg3m6qdqgyme5u7e	102	5	ciative	ciative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	102	6	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	102	7	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	102	8	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	102	9	successfully	successfully	RB
work_3gmfusebffdg3m6qdqgyme5u7e	102	10	employed	employ	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	102	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	102	12	build	build	VB
work_3gmfusebffdg3m6qdqgyme5u7e	102	13	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	102	14	models	model	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	102	15	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	102	16	classifiers	classifier	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	102	17	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	102	18	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	102	19	Liu	Liu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	102	20	et	et	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	102	21	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	102	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	103	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	103	2	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	103	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	103	4	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	103	5	later	later	RB
work_3gmfusebffdg3m6qdqgyme5u7e	103	6	attracted	attract	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	103	7	many	many	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	103	8	researchers	researcher	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	103	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	103	10	e.g.	e.g.	RB
work_3gmfusebffdg3m6qdqgyme5u7e	104	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	104	2	Yin	Yin	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	104	3	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	104	4	Han	Han	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	104	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	104	6	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	104	7	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	104	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	104	9	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	104	10	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	104	11	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	104	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	104	13	machine	machine	NN
work_3gmfusebffdg3m6qdqgyme5u7e	104	14	learning	learn	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	104	15	communi-	communi-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	104	16	ties	tie	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	104	17	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	105	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	105	2	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	105	3	subsection	subsection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	105	4	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	105	5	survey	survey	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	105	6	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	105	7	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	105	8	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	105	9	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	105	10	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	105	11	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	105	12	paper	paper	NN
work_3gmfusebffdg3m6qdqgyme5u7e	105	13	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	105	14	generate	generate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	105	15	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	105	16	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	105	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	105	18	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	105	19	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	105	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	106	1	3.1.1	3.1.1	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	106	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	107	1	Classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	107	2	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	107	3	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	107	4	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	107	5	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	107	6	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	107	7	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	107	8	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	107	9	idea	idea	NN
work_3gmfusebffdg3m6qdqgyme5u7e	107	10	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	107	11	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	107	12	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	107	13	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	107	14	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	107	15	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	107	16	classifica-	classifica-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	107	17	tion	tion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	107	18	problems	problem	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	107	19	was	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	107	20	first	first	RB
work_3gmfusebffdg3m6qdqgyme5u7e	107	21	introduced	introduce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	107	22	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	107	23	Liu	Liu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	107	24	et	et	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	107	25	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	107	26	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	108	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	108	2	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	108	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	108	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	108	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	108	6	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	108	7	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	108	8	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	108	9	called	call	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	108	10	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	108	11	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	108	12	proposed	propose	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	108	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	108	14	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	108	15	oper-	oper-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	108	16	ates	ate	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	108	17	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	108	18	three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	108	19	main	main	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	108	20	steps	step	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	108	21	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	109	1	Firstly	firstly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	109	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	109	3	if	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	109	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	109	5	intended	intend	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	109	6	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	109	7	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	109	8	contains	contain	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	109	9	any	any	DT
work_3gmfusebffdg3m6qdqgyme5u7e	109	10	real	real	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	109	11	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	109	12	integer	integer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	109	13	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	109	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	109	15	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	109	16	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	109	17	disctretised	disctretise	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	109	18	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	109	19	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	109	20	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	109	21	interval	interval	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	109	22	discretisation	discretisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	109	23	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	109	24	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	109	25	Fayyad	Fayyad	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	109	26	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	109	27	Irani	Irani	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	109	28	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	109	29	1993	1993	CD
work_3gmfusebffdg3m6qdqgyme5u7e	109	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	109	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	110	1	Secondly	secondly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	110	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	110	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	110	4	Apriori	Apriori	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	110	5	candidate	candidate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	110	6	generation	generation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	110	7	step	step	NN
work_3gmfusebffdg3m6qdqgyme5u7e	110	8	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	110	9	Agrawal	Agrawal	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	110	10	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	110	11	Srikant	Srikant	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	110	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	110	13	1994	1994	CD
work_3gmfusebffdg3m6qdqgyme5u7e	110	14	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	110	15	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	110	16	adopted	adopt	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	110	17	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	110	18	find	find	VB
work_3gmfusebffdg3m6qdqgyme5u7e	110	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	110	20	potential	potential	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	110	21	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	110	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	111	1	Apriori	apriori	NN
work_3gmfusebffdg3m6qdqgyme5u7e	111	2	candidate	candidate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	111	3	generation	generation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	111	4	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	111	5	necessitates	necessitate	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	111	6	multiple	multiple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	111	7	passes	pass	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	111	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	111	9	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	111	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	111	11	potential	potential	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	111	12	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	111	13	found	find	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	111	14	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	111	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	111	16	previous	previous	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	111	17	pass	pass	NN
work_3gmfusebffdg3m6qdqgyme5u7e	111	18	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	111	19	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	111	20	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	111	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	111	22	generation	generation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	111	23	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	111	24	potential	potential	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	111	25	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	111	26	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	111	27	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	111	28	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	111	29	pass	pass	NN
work_3gmfusebffdg3m6qdqgyme5u7e	111	30	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	112	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	112	2	repetitive	repetitive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	112	3	scans	scan	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	112	4	requires	require	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	112	5	high	high	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	112	6	CPU	cpu	NN
work_3gmfusebffdg3m6qdqgyme5u7e	112	7	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	112	8	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	112	9	main	main	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	112	10	memory	memory	NN
work_3gmfusebffdg3m6qdqgyme5u7e	112	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	113	1	Once	once	RB
work_3gmfusebffdg3m6qdqgyme5u7e	113	2	all	all	DT
work_3gmfusebffdg3m6qdqgyme5u7e	113	3	poten-	poten-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	113	4	tial	tial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	113	5	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	113	6	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	113	7	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	113	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	113	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	113	10	subset	subset	NN
work_3gmfusebffdg3m6qdqgyme5u7e	113	11	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	113	12	leads	lead	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	113	13	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	113	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	113	15	least	least	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	113	16	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	113	17	rate	rate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	113	18	against	against	IN
work_3gmfusebffdg3m6qdqgyme5u7e	113	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	113	20	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	113	21	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	113	22	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	113	23	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	113	24	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	113	25	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	113	26	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	113	27	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	113	28	classifier	classifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	113	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	114	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	114	2	selection	selection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	114	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	114	4	such	such	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	114	5	subset	subset	NN
work_3gmfusebffdg3m6qdqgyme5u7e	114	6	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	114	7	accomplished	accomplish	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	114	8	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	114	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	114	10	database	database	NN
work_3gmfusebffdg3m6qdqgyme5u7e	114	11	coverage	coverage	NN
work_3gmfusebffdg3m6qdqgyme5u7e	114	12	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	114	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	114	14	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	114	15	ensures	ensure	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	114	16	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	114	17	every	every	DT
work_3gmfusebffdg3m6qdqgyme5u7e	114	18	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	114	19	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	114	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	114	21	classifier	classifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	114	22	must	must	MD
work_3gmfusebffdg3m6qdqgyme5u7e	114	23	cover	cover	VB
work_3gmfusebffdg3m6qdqgyme5u7e	114	24	correctly	correctly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	114	25	at	at	RB
work_3gmfusebffdg3m6qdqgyme5u7e	114	26	least	least	RBS
work_3gmfusebffdg3m6qdqgyme5u7e	114	27	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	114	28	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	114	29	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	114	30	object	object	NN
work_3gmfusebffdg3m6qdqgyme5u7e	114	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	115	1	3.1.2	3.1.2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	115	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	116	1	MCAR	MCAR	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	116	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	116	3	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	116	4	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	116	5	class	class	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	116	6	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	7	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	116	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	116	9	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	10	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	11	A	A	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	116	12	recently	recently	RB
work_3gmfusebffdg3m6qdqgyme5u7e	116	13	developed	develop	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	116	14	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	116	15	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	16	algo-	algo-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	17	rithm	rithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	18	called	call	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	116	19	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	116	20	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	116	21	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	116	22	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	116	23	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	116	24	.	.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	116	25	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	116	26	2005	2005	CD
work_3gmfusebffdg3m6qdqgyme5u7e	116	27	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	116	28	employs	employ	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	116	29	tid-	tid-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	30	list	list	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	31	intersections	intersection	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	116	32	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	116	33	quickly	quickly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	116	34	find	find	VB
work_3gmfusebffdg3m6qdqgyme5u7e	116	35	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	116	36	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	116	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	117	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	117	2	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	117	3	consists	consist	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	117	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	117	5	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	117	6	main	main	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	117	7	phases	phase	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	117	8	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	117	9	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	117	10	generation	generation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	117	11	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	117	12	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	117	13	clas-	clas-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	117	14	sifier	sifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	117	15	builder	builder	NN
work_3gmfusebffdg3m6qdqgyme5u7e	117	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	118	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	118	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	118	3	first	first	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	118	4	phase	phase	NN
work_3gmfusebffdg3m6qdqgyme5u7e	118	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	118	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	118	7	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	118	8	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	118	9	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	118	10	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	118	11	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	118	12	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	118	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	118	14	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	118	15	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	118	16	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	118	17	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	118	18	Systems	Systems	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	118	19	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	118	20	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	118	21	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	118	22	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	118	23	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	118	24	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	118	25	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	118	26	1095	1095	CD
work_3gmfusebffdg3m6qdqgyme5u7e	118	27	scanned	scan	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	118	28	once	once	RB
work_3gmfusebffdg3m6qdqgyme5u7e	118	29	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	118	30	discover	discover	VB
work_3gmfusebffdg3m6qdqgyme5u7e	118	31	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	118	32	potential	potential	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	118	33	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	118	34	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	118	35	size	size	NN
work_3gmfusebffdg3m6qdqgyme5u7e	118	36	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	118	37	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	118	38	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	118	39	then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	118	40	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	118	41	intersects	intersect	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	118	42	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	118	43	potential	potential	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	118	44	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	118	45	tid	tid	NN
work_3gmfusebffdg3m6qdqgyme5u7e	118	46	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	118	47	lists	list	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	118	48	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	118	49	size	size	NN
work_3gmfusebffdg3m6qdqgyme5u7e	118	50	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	118	51	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	118	52	find	find	VB
work_3gmfusebffdg3m6qdqgyme5u7e	118	53	potential	potential	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	118	54	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	118	55	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	118	56	size	size	NN
work_3gmfusebffdg3m6qdqgyme5u7e	118	57	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	118	58	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	118	59	so	so	RB
work_3gmfusebffdg3m6qdqgyme5u7e	118	60	forth	forth	RB
work_3gmfusebffdg3m6qdqgyme5u7e	118	61	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	119	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	119	2	rules	rule	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	119	3	discovery	discovery	NN
work_3gmfusebffdg3m6qdqgyme5u7e	119	4	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	119	5	does	do	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	119	6	no	no	DT
work_3gmfusebffdg3m6qdqgyme5u7e	119	7	require	require	RB
work_3gmfusebffdg3m6qdqgyme5u7e	119	8	passing	pass	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	119	9	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	119	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	119	11	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	119	12	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	119	13	multiple	multiple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	119	14	times	time	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	119	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	120	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	120	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	120	3	second	second	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	120	4	phase	phase	NN
work_3gmfusebffdg3m6qdqgyme5u7e	120	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	120	6	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	120	7	created	create	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	120	8	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	120	9	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	120	10	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	120	11	build	build	VB
work_3gmfusebffdg3m6qdqgyme5u7e	120	12	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	120	13	classifier	classifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	120	14	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	120	15	considering	consider	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	120	16	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	120	17	effectiveness	effectiveness	NN
work_3gmfusebffdg3m6qdqgyme5u7e	120	18	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	120	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	120	20	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	120	21	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	120	22	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	120	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	121	1	Potential	potential	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	121	2	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	121	3	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	121	4	cover	cover	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	121	5	certain	certain	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	121	6	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	121	7	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	121	8	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	121	9	objects	object	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	121	10	will	will	MD
work_3gmfusebffdg3m6qdqgyme5u7e	121	11	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	121	12	kept	keep	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	121	13	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	121	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	121	15	final	final	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	121	16	classifier	classifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	121	17	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	122	1	Finally	finally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	122	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	122	3	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	122	4	adds	add	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	122	5	upon	upon	IN
work_3gmfusebffdg3m6qdqgyme5u7e	122	6	previous	previous	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	122	7	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	8	ranking	rank	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	122	9	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	122	10	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	122	11	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	122	12	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	122	14	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	122	15	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	122	16	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	122	17	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	122	18	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	122	19	confidence	confidence	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	122	21	support	support	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	22	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	122	23	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	24	length	length	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	25	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	122	26	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	122	27	looking	look	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	122	28	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	122	29	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	122	30	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	31	distribution	distribution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	32	frequencies	frequency	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	122	33	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	122	34	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	122	35	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	122	36	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	122	37	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	122	38	prefers	prefer	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	122	39	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	122	40	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	122	41	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	122	42	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	122	43	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	122	44	dominant	dominant	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	122	45	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	122	46	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	123	1	Experimental	experimental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	123	2	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	123	3	showed	show	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	123	4	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	123	5	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	123	6	rule	rule	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	123	7	ranking	rank	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	123	8	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	123	9	reduces	reduce	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	123	10	rule	rule	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	123	11	random	random	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	123	12	selection	selection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	123	13	during	during	IN
work_3gmfusebffdg3m6qdqgyme5u7e	123	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	123	15	process	process	NN
work_3gmfusebffdg3m6qdqgyme5u7e	123	16	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	123	17	ranking	rank	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	123	18	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	123	19	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	123	20	especially	especially	RB
work_3gmfusebffdg3m6qdqgyme5u7e	123	21	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	123	22	dense	dense	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	123	23	clas-	clas-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	123	24	sification	sification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	123	25	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	123	26	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	124	1	3.1.3	3.1.3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	124	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	125	1	Multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	125	2	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	125	3	class	class	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	125	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	125	5	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	125	6	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	125	7	label	label	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	125	8	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	125	9	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	125	10	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	125	11	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	125	12	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	125	13	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	125	14	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	125	15	algorithm	algorithm	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	125	16	consists	consist	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	125	17	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	125	18	three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	125	19	steps	step	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	125	20	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	125	21	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	125	22	gen-	gen-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	125	23	eration	eration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	125	24	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	125	25	recursive	recursive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	125	26	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	125	27	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	125	28	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	125	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	126	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	126	2	passes	pass	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	126	3	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	126	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	126	5	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	126	6	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	126	7	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	126	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	126	9	first	first	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	126	10	step	step	NN
work_3gmfusebffdg3m6qdqgyme5u7e	126	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	126	12	discover	discover	VB
work_3gmfusebffdg3m6qdqgyme5u7e	126	13	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	126	14	generate	generate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	126	15	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	126	16	complete	complete	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	126	17	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	126	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	126	19	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	126	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	127	1	Training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	127	2	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	127	3	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	127	4	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	127	5	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	127	6	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	127	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	127	8	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	127	9	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	127	10	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	127	11	discarded	discard	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	127	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	128	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	128	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	128	3	second	second	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	128	4	step	step	NN
work_3gmfusebffdg3m6qdqgyme5u7e	128	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	128	6	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	128	7	proceeds	proceed	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	128	8	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	128	9	discover	discover	VB
work_3gmfusebffdg3m6qdqgyme5u7e	128	10	more	more	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	128	11	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	128	12	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	128	13	pass	pass	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	128	14	user	user	NN
work_3gmfusebffdg3m6qdqgyme5u7e	128	15	pre-	pre-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	128	16	defined	define	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	128	17	thresholds	threshold	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	128	18	denoted	denote	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	128	19	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	128	20	minimum	minimum	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	128	21	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	128	22	support	support	NN
work_3gmfusebffdg3m6qdqgyme5u7e	128	23	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	128	24	mini-	mini-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	128	25	mum	mum	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	128	26	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	128	27	confidence	confidence	NN
work_3gmfusebffdg3m6qdqgyme5u7e	128	28	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	128	29	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	128	30	remaining	remain	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	128	31	unclassified	unclassified	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	128	32	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	128	33	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	128	34	until	until	IN
work_3gmfusebffdg3m6qdqgyme5u7e	128	35	no	no	DT
work_3gmfusebffdg3m6qdqgyme5u7e	128	36	further	further	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	128	37	potential	potential	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	128	38	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	128	39	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	128	40	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	128	41	found	find	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	128	42	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	129	1	Finally	finally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	129	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	129	3	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	129	4	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	129	5	derived	derive	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	129	6	during	during	IN
work_3gmfusebffdg3m6qdqgyme5u7e	129	7	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	129	8	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	129	9	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	129	10	merged	merge	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	129	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	129	12	form	form	VB
work_3gmfusebffdg3m6qdqgyme5u7e	129	13	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	129	14	glo-	glo-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	129	15	bal	bal	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	129	16	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	129	17	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	129	18	label	label	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	129	19	classifier	classifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	129	20	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	129	21	then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	129	22	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	129	23	tested	test	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	129	24	against	against	IN
work_3gmfusebffdg3m6qdqgyme5u7e	129	25	test	test	NN
work_3gmfusebffdg3m6qdqgyme5u7e	129	26	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	129	27	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	130	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	130	2	distinguishing	distinguish	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	130	3	feature	feature	NN
work_3gmfusebffdg3m6qdqgyme5u7e	130	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	130	5	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	130	6	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	130	7	its	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	130	8	ability	ability	NN
work_3gmfusebffdg3m6qdqgyme5u7e	130	9	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	130	10	gener-	gener-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	130	11	ating	ating	NN
work_3gmfusebffdg3m6qdqgyme5u7e	130	12	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	130	13	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	130	14	multiple	multiple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	130	15	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	130	16	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	130	17	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	130	18	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	130	19	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	130	20	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	130	21	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	130	22	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	130	23	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	130	24	objects	object	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	130	25	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	130	26	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	130	27	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	130	28	just	just	RB
work_3gmfusebffdg3m6qdqgyme5u7e	130	29	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	130	30	single	single	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	130	31	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	130	32	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	131	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	131	2	provides	provide	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	131	3	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	131	4	makers	maker	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	131	5	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	131	6	useful	useful	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	131	7	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	131	8	dis-	dis-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	131	9	carded	card	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	131	10	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	131	11	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	131	12	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	131	13	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	131	14	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	131	15	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	131	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	132	1	3.2	3.2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	132	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	133	1	Traditional	traditional	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	133	2	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	133	3	approaches	approach	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	133	4	3.2.1	3.2.1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	133	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	134	1	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	134	2	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	134	3	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	134	4	was	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	134	5	created	create	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	134	6	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	134	7	Quinlan	Quinlan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	134	8	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	134	9	1993	1993	CD
work_3gmfusebffdg3m6qdqgyme5u7e	134	10	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	134	11	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	134	12	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	134	13	deci-	deci-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	134	14	sion	sion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	134	15	tree	tree	NN
work_3gmfusebffdg3m6qdqgyme5u7e	134	16	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	134	17	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	134	18	extracting	extract	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	134	19	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	134	20	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	134	21	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	134	22	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	134	23	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	134	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	135	1	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	135	2	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	135	3	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	135	4	extension	extension	NN
work_3gmfusebffdg3m6qdqgyme5u7e	135	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	135	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	135	7	ID3	ID3	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	135	8	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	135	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	135	10	Quinlan	Quinlan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	135	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	135	12	1979	1979	CD
work_3gmfusebffdg3m6qdqgyme5u7e	135	13	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	135	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	135	15	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	135	16	accounts	account	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	135	17	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	135	18	missing	miss	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	135	19	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	135	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	135	21	continuous	continuous	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	135	22	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	135	23	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	135	24	pruning	pruning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	135	25	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	135	26	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	135	27	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	135	28	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	136	1	As	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	136	2	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	136	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	136	4	ID3	ID3	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	136	5	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	136	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	136	7	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	136	8	uses	use	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	136	9	information	information	NN
work_3gmfusebffdg3m6qdqgyme5u7e	136	10	gain	gain	NN
work_3gmfusebffdg3m6qdqgyme5u7e	136	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	136	12	select	select	VB
work_3gmfusebffdg3m6qdqgyme5u7e	136	13	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	136	14	root	root	NN
work_3gmfusebffdg3m6qdqgyme5u7e	136	15	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	136	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	137	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	137	2	algo-	algo-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	137	3	rithm	rithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	137	4	selects	select	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	137	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	137	6	root	root	NN
work_3gmfusebffdg3m6qdqgyme5u7e	137	7	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	137	8	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	137	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	137	10	ones	one	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	137	11	available	available	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	137	12	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	137	13	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	137	14	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	137	15	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	137	16	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	137	17	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	138	1	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	138	2	makes	make	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	138	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	4	selection	selection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	138	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	7	root	root	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	8	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	138	9	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	138	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	11	most	most	RBS
work_3gmfusebffdg3m6qdqgyme5u7e	138	12	informative	informative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	138	13	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	14	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	138	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	16	process	process	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	17	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	138	18	selecting	select	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	138	19	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	20	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	21	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	138	22	repeated	repeat	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	138	23	recursively	recursively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	138	24	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	138	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	26	so-	so-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	27	called	call	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	138	28	child	child	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	29	nodes	node	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	138	30	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	138	31	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	32	root	root	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	33	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	138	34	excluding	exclude	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	138	35	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	36	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	138	37	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	138	38	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	138	39	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	138	40	chosen	choose	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	138	41	before	before	RB
work_3gmfusebffdg3m6qdqgyme5u7e	138	42	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	138	43	until	until	IN
work_3gmfusebffdg3m6qdqgyme5u7e	138	44	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	45	remaining	remain	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	138	46	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	138	47	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	138	48	objects	object	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	138	49	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	138	50	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	138	51	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	138	52	split	split	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	138	53	any	any	DT
work_3gmfusebffdg3m6qdqgyme5u7e	138	54	more	more	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	138	55	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	138	56	Quinlan	Quinlan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	138	57	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	138	58	1979	1979	CD
work_3gmfusebffdg3m6qdqgyme5u7e	138	59	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	138	60	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	139	1	At	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	139	2	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	139	3	point	point	NN
work_3gmfusebffdg3m6qdqgyme5u7e	139	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	139	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	139	6	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	139	7	tree	tree	NN
work_3gmfusebffdg3m6qdqgyme5u7e	139	8	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	139	9	outputted	output	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	139	10	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	139	11	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	139	12	node	node	RB
work_3gmfusebffdg3m6qdqgyme5u7e	139	13	corre-	corre-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	139	14	sponds	spond	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	139	15	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	139	16	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	139	17	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	139	18	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	139	19	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	139	20	arc	arc	NN
work_3gmfusebffdg3m6qdqgyme5u7e	139	21	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	139	22	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	139	23	possible	possible	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	139	24	value	value	NN
work_3gmfusebffdg3m6qdqgyme5u7e	139	25	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	139	26	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	139	27	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	139	28	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	140	1	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	140	2	path	path	NN
work_3gmfusebffdg3m6qdqgyme5u7e	140	3	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	140	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	140	5	root	root	NN
work_3gmfusebffdg3m6qdqgyme5u7e	140	6	node	node	RB
work_3gmfusebffdg3m6qdqgyme5u7e	140	7	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	140	8	any	any	DT
work_3gmfusebffdg3m6qdqgyme5u7e	140	9	give	give	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	140	10	leaf	leaf	NN
work_3gmfusebffdg3m6qdqgyme5u7e	140	11	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	140	12	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	140	13	tree	tree	NN
work_3gmfusebffdg3m6qdqgyme5u7e	140	14	corresponds	correspond	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	140	15	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	140	16	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	140	17	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	140	18	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	141	1	One	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	141	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	141	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	141	4	major	major	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	141	5	extensions	extension	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	141	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	141	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	141	8	ID3	ID3	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	141	9	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	141	10	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	141	11	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	141	12	proposed	propose	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	141	13	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	141	14	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	141	15	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	141	16	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	141	17	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	142	1	Two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	142	2	known	know	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	142	3	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	142	4	methods	method	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	142	5	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	142	6	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	142	7	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	142	8	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	142	9	simplify	simplify	VB
work_3gmfusebffdg3m6qdqgyme5u7e	142	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	142	11	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	142	12	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	142	13	constructed	construct	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	142	14	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	142	15	sub	sub	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	142	16	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	142	17	tree	tree	NN
work_3gmfusebffdg3m6qdqgyme5u7e	142	18	replace-	replace-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	142	19	ment	ment	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	142	20	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	142	21	pessimistic	pessimistic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	142	22	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	142	23	estimation	estimation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	142	24	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	142	25	Witten	Witten	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	142	26	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	142	27	Frank	Frank	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	142	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	142	29	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	142	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	142	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	143	1	3.2.2	3.2.2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	143	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	144	1	Repeated	repeat	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	144	2	incremental	incremental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	144	3	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	144	4	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	144	5	produce	produce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	144	6	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	144	7	reduction	reduction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	144	8	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	144	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	144	10	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	144	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	144	12	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	144	13	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	144	14	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	144	15	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	144	16	induction	induction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	144	17	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	144	18	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	144	19	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	144	20	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	144	21	developed	develop	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	144	22	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	144	23	1995	1995	CD
work_3gmfusebffdg3m6qdqgyme5u7e	144	24	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	144	25	Cohen	Cohen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	144	26	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	144	27	1995	1995	CD
work_3gmfusebffdg3m6qdqgyme5u7e	144	28	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	144	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	145	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	145	2	builds	build	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	145	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	145	4	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	145	5	set	set	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	145	6	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	145	7	follows	follow	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	145	8	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	145	9	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	145	10	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	145	11	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	145	12	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	145	13	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	145	14	divided	divide	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	145	15	into	into	IN
work_3gmfusebffdg3m6qdqgyme5u7e	145	16	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	145	17	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	145	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	145	19	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	145	20	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	145	21	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	145	22	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	145	23	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	145	24	growing	grow	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	145	25	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	145	26	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	146	1	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	146	2	constructs	construct	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	146	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	146	4	classifier	classifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	146	5	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	146	6	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	146	7	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	146	8	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	146	9	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	146	10	repeatedly	repeatedly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	146	11	inserting	insert	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	146	12	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	146	13	starting	start	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	146	14	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	146	15	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	146	16	empty	empty	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	146	17	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	146	18	set	set	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	146	19	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	147	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	147	2	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	3	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	147	4	growing	grow	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	147	5	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	6	starts	start	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	147	7	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	147	8	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	147	9	empty	empty	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	147	10	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	147	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	147	13	heuristically	heuristically	RB
work_3gmfusebffdg3m6qdqgyme5u7e	147	14	adds	add	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	147	15	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	147	16	condi-	condi-	IN
work_3gmfusebffdg3m6qdqgyme5u7e	147	17	tion	tion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	18	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	147	19	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	147	20	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	21	until	until	IN
work_3gmfusebffdg3m6qdqgyme5u7e	147	22	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	147	23	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	24	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	147	25	no	no	DT
work_3gmfusebffdg3m6qdqgyme5u7e	147	26	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	27	rate	rate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	28	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	147	29	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	147	30	growing	grow	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	147	31	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	147	32	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	148	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	148	2	fact	fact	NN
work_3gmfusebffdg3m6qdqgyme5u7e	148	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	148	4	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	148	5	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	148	6	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	148	7	refined	refined	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	148	8	version	version	NN
work_3gmfusebffdg3m6qdqgyme5u7e	148	9	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	148	10	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	148	11	earlier	early	RBR
work_3gmfusebffdg3m6qdqgyme5u7e	148	12	developed	developed	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	148	13	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	148	14	called	call	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	148	15	Incremental	Incremental	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	148	16	Reduced	Reduced	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	148	17	Error	Error	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	148	18	Pruning	Pruning	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	148	19	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	148	20	IREP	IREP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	148	21	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	148	22	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	148	23	Furnkranz	Furnkranz	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	148	24	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	148	25	Widmer	Widmer	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	148	26	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	148	27	1994	1994	CD
work_3gmfusebffdg3m6qdqgyme5u7e	148	28	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	148	29	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	148	30	adds	add	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	148	31	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	148	32	post	post	NN
work_3gmfusebffdg3m6qdqgyme5u7e	148	33	pruning	pruning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	148	34	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	148	35	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	148	36	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	148	37	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	148	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	149	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	149	2	heuristic	heuristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	149	3	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	149	4	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	149	5	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	149	6	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	149	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	149	8	classifier	classifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	149	9	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	149	10	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	149	11	IREP	IREP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	149	12	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	149	13	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	149	14	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	149	15	phase	phase	NN
work_3gmfusebffdg3m6qdqgyme5u7e	149	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	149	17	aiming	aim	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	149	18	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	149	19	simplify	simplify	VB
work_3gmfusebffdg3m6qdqgyme5u7e	149	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	149	21	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	149	22	set	set	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	149	23	fea-	fea-	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	149	24	tures	ture	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	149	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	150	1	For	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	150	2	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	150	3	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	150	4	ri	ri	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	150	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	150	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	150	7	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	150	8	set	set	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	150	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	150	10	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	150	11	alternative	alternative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	150	12	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	150	13	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	150	14	built	build	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	150	15	;	;	:
work_3gmfusebffdg3m6qdqgyme5u7e	150	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	150	17	replacement	replacement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	150	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	150	19	ri	ri	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	150	20	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	150	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	150	22	revision	revision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	150	23	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	150	24	ri	ri	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	150	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	151	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	151	2	replacement	replacement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	151	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	151	4	ri	ri	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	151	5	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	151	6	created	create	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	151	7	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	151	8	growing	grow	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	151	9	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	151	10	empty	empty	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	151	11	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	151	12	r	r	NN
work_3gmfusebffdg3m6qdqgyme5u7e	151	13	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	151	14	i	i	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	151	15	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	151	16	then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	151	17	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	151	18	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	151	19	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	151	20	order	order	NN
work_3gmfusebffdg3m6qdqgyme5u7e	151	21	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	151	22	reduce	reduce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	151	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	151	24	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	151	25	rate	rate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	151	26	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	151	27	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	151	28	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	151	29	set	set	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	151	30	including	include	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	151	31	r0	r0	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	151	32	i	i	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	151	33	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	151	34	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	151	35	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	151	36	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	151	37	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	151	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	152	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	152	2	revi-	revi-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	152	3	sion	sion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	152	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	152	5	ri	ri	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	152	6	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	152	7	constructed	construct	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	152	8	similarly	similarly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	152	9	except	except	IN
work_3gmfusebffdg3m6qdqgyme5u7e	152	10	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	152	11	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	152	12	revision	revision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	152	13	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	152	14	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	152	15	built	build	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	152	16	heuristically	heuristically	RB
work_3gmfusebffdg3m6qdqgyme5u7e	152	17	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	152	18	adding	add	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	152	19	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	152	20	condition	condition	NN
work_3gmfusebffdg3m6qdqgyme5u7e	152	21	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	152	22	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	152	23	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	152	24	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	152	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	152	26	original	original	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	152	27	ri	ri	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	152	28	rather	rather	RB
work_3gmfusebffdg3m6qdqgyme5u7e	152	29	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	152	30	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	152	31	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	152	32	empty	empty	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	152	33	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	152	34	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	153	1	Then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	153	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	153	3	three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	153	4	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	153	5	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	153	6	examined	examine	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	153	7	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	153	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	153	9	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	153	10	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	153	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	153	12	select	select	VB
work_3gmfusebffdg3m6qdqgyme5u7e	153	13	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	153	14	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	153	15	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	153	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	153	17	least	least	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	153	18	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	153	19	rate	rate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	153	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	154	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	154	2	integration	integration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	154	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	154	4	IREP	IREP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	154	5	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	154	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	154	7	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	154	8	procedure	procedure	NN
work_3gmfusebffdg3m6qdqgyme5u7e	154	9	forms	form	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	154	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	154	11	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	154	12	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	154	13	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	155	1	3.2.3	3.2.3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	155	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	156	1	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	156	2	Unlike	unlike	IN
work_3gmfusebffdg3m6qdqgyme5u7e	156	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	156	4	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	156	5	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	156	6	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	156	7	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	156	8	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	156	9	operate	operate	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	156	10	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	156	11	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	156	12	phases	phase	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	156	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	156	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	156	15	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	156	16	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	156	17	generates	generate	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	156	18	rules	rule	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	156	19	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	156	20	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	156	21	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	156	22	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	156	23	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	156	24	avoiding	avoid	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	156	25	extensive	extensive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	156	26	pruning	pruning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	156	27	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	156	28	Frank	Frank	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	156	29	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	156	30	Witten	Witten	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	156	31	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	156	32	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	156	33	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	156	34	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	157	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	157	2	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	157	3	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	157	4	employs	employ	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	157	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	157	6	divide	divide	NN
work_3gmfusebffdg3m6qdqgyme5u7e	157	7	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	157	8	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	157	9	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	157	10	conquer	conquer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	157	11	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	157	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	157	13	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	157	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	157	15	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	157	16	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	157	17	uses	use	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	157	18	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	157	19	induction	induction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	157	20	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	157	21	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	157	22	derive	derive	VB
work_3gmfusebffdg3m6qdqgyme5u7e	157	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	157	24	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	157	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	158	1	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	158	2	combines	combine	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	158	3	both	both	DT
work_3gmfusebffdg3m6qdqgyme5u7e	158	4	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	158	5	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	158	6	find	find	VB
work_3gmfusebffdg3m6qdqgyme5u7e	158	7	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	158	8	generate	generate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	158	9	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	158	10	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	159	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	159	2	adopts	adopt	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	159	3	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	159	4	induc-	induc-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	159	5	tion	tion	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	159	6	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	159	7	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	159	8	generate	generate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	159	9	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	159	10	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	159	11	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	159	12	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	159	13	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	159	14	uses	use	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	159	15	divide-	divide-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	159	16	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	159	17	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	159	18	conquer	conquer	VB
work_3gmfusebffdg3m6qdqgyme5u7e	159	19	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	159	20	build	build	VB
work_3gmfusebffdg3m6qdqgyme5u7e	159	21	partial	partial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	159	22	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	159	23	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	159	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	160	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	160	2	way	way	NN
work_3gmfusebffdg3m6qdqgyme5u7e	160	3	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	160	4	builds	build	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	160	5	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	160	6	prunes	prune	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	160	7	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	160	8	partial	partial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	160	9	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	160	10	tree	tree	NN
work_3gmfusebffdg3m6qdqgyme5u7e	160	11	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	160	12	similar	similar	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	160	13	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	160	14	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	160	15	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	160	16	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	160	17	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	160	18	but	but	CC
work_3gmfusebffdg3m6qdqgyme5u7e	160	19	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	160	20	avoids	avoid	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	160	21	constructing	construct	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	160	22	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	160	23	complete	complete	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	160	24	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	160	25	tree	tree	NN
work_3gmfusebffdg3m6qdqgyme5u7e	160	26	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	160	27	builds	build	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	160	28	partial	partial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	160	29	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	160	30	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	160	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	161	1	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	161	2	differs	differ	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	161	3	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	161	4	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	161	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	161	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	161	7	way	way	NN
work_3gmfusebffdg3m6qdqgyme5u7e	161	8	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	161	9	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	161	10	created	create	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	161	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	161	12	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	161	13	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	161	14	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	161	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	161	16	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	161	17	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	161	18	corresponds	correspond	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	161	19	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	161	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	161	21	leaf	leaf	NN
work_3gmfusebffdg3m6qdqgyme5u7e	161	22	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	161	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	161	24	largest	large	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	161	25	coverage	coverage	NN
work_3gmfusebffdg3m6qdqgyme5u7e	161	26	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	161	27	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	161	28	partial	partial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	161	29	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	161	30	tree	tree	NN
work_3gmfusebffdg3m6qdqgyme5u7e	161	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	162	1	On	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	162	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	162	3	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	162	4	hand	hand	NN
work_3gmfusebffdg3m6qdqgyme5u7e	162	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	162	6	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	162	7	builds	build	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	162	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	162	9	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	162	10	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	162	11	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	162	12	greedy	greedy	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	162	13	fashion	fashion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	162	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	162	15	starting	start	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	162	16	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	162	17	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	162	18	empty	empty	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	162	19	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	162	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	162	21	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	162	22	adds	add	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	162	23	conditions	condition	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	162	24	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	162	25	until	until	IN
work_3gmfusebffdg3m6qdqgyme5u7e	162	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	162	27	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	162	28	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	162	29	no	no	DT
work_3gmfusebffdg3m6qdqgyme5u7e	162	30	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	162	31	rate	rate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	162	32	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	162	33	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	162	34	process	process	NN
work_3gmfusebffdg3m6qdqgyme5u7e	162	35	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	162	36	repeated	repeat	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	162	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	163	1	Missing	miss	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	163	2	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	163	3	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	163	4	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	163	5	tech-	tech-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	163	6	niques	nique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	163	7	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	163	8	treated	treat	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	163	9	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	163	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	163	11	same	same	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	163	12	way	way	NN
work_3gmfusebffdg3m6qdqgyme5u7e	163	13	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	163	14	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	163	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	164	1	1096	1096	CD
work_3gmfusebffdg3m6qdqgyme5u7e	164	2	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	164	3	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	164	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	164	5	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	164	6	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	164	7	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	164	8	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	164	9	Systems	Systems	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	164	10	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	164	11	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	164	12	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	164	13	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	164	14	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	164	15	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	164	16	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	164	17	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	164	18	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	165	1	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	165	2	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	165	3	experimental	experimental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	165	4	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	165	5	4.1	4.1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	165	6	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	166	1	Data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	166	2	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	166	3	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	166	4	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	166	5	features	feature	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	166	6	Data	Data	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	166	7	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	166	8	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	166	9	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	166	10	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	166	11	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	166	12	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	166	13	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	166	14	hyperheuristic	hyperheuristic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	166	15	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	166	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	166	17	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	166	18	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	166	19	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	166	20	were	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	166	21	provided	provide	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	166	22	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	166	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	166	24	authors	author	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	166	25	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	166	26	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	166	27	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	166	28	Chakhlevitch	Chakhlevitch	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	166	29	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	166	30	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	166	31	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	166	32	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	167	1	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	167	2	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	167	3	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	167	4	500	500	CD
work_3gmfusebffdg3m6qdqgyme5u7e	167	5	iterations	iteration	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	167	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	167	7	applied	applied	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	167	8	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	167	9	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	167	10	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	167	11	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	167	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	167	13	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	167	14	given	give	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	167	15	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	167	16	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	167	17	text	text	NN
work_3gmfusebffdg3m6qdqgyme5u7e	167	18	file	file	NN
work_3gmfusebffdg3m6qdqgyme5u7e	167	19	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	168	1	Twelve	twelve	CD
work_3gmfusebffdg3m6qdqgyme5u7e	168	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	168	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	168	4	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	168	5	files	file	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	168	6	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	168	7	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	168	8	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	168	9	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	168	10	single	single	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	168	11	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	168	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	168	13	whereas	whereas	IN
work_3gmfusebffdg3m6qdqgyme5u7e	168	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	168	15	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	168	16	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	168	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	168	18	remaining	remain	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	168	19	four	four	CD
work_3gmfusebffdg3m6qdqgyme5u7e	168	20	files	file	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	168	21	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	168	22	ten	ten	CD
work_3gmfusebffdg3m6qdqgyme5u7e	168	23	combined	combined	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	168	24	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	168	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	169	1	Ten	ten	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	2	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	169	3	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	169	4	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	169	5	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	169	6	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	169	7	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	169	8	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	9	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	10	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	11	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	12	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	14	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	15	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	17	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	18	27	27	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	19	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	20	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	21	37	37	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	22	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	23	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	24	43	43	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	25	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	26	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	27	47	47	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	29	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	30	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	31	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	32	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	33	68	68	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	34	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	169	35	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	169	36	74	74	CD
work_3gmfusebffdg3m6qdqgyme5u7e	169	37	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	169	38	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	169	39	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	169	40	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	169	41	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	169	42	produce	produce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	169	43	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	169	44	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	169	45	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	170	1	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	170	2	file	file	NN
work_3gmfusebffdg3m6qdqgyme5u7e	170	3	consists	consist	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	170	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	170	5	15	15	CD
work_3gmfusebffdg3m6qdqgyme5u7e	170	6	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	170	7	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	170	8	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	170	9	5000	5000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	170	10	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	170	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	171	1	One	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	171	2	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	171	3	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	171	4	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	171	5	single	single	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	171	6	solu-	solu-	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	171	7	tion	tion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	171	8	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	171	9	shown	show	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	171	10	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	171	11	Table	Table	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	171	12	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	171	13	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	171	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	171	15	bold	bold	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	171	16	row	row	NN
work_3gmfusebffdg3m6qdqgyme5u7e	171	17	indicates	indicate	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	171	18	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	171	19	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	171	20	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	171	21	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	171	22	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	171	23	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	171	24	74	74	CD
work_3gmfusebffdg3m6qdqgyme5u7e	171	25	was	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	171	26	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	171	27	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	171	28	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	171	29	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	171	30	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	171	31	because	because	IN
work_3gmfusebffdg3m6qdqgyme5u7e	171	32	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	171	33	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	171	34	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	171	35	largest	large	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	171	36	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	171	37	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	171	38	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	171	39	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	171	40	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	172	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	172	2	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	172	3	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	172	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	172	5	column	column	NN
work_3gmfusebffdg3m6qdqgyme5u7e	172	6	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	172	7	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	172	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	172	9	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	172	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	172	11	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	172	12	tested	test	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	172	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	172	14	ESM	ESM	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	172	15	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	172	16	RSM	RSM	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	172	17	columns	column	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	172	18	stand	stand	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	172	19	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	172	20	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	172	21	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	172	22	resource	resource	NN
work_3gmfusebffdg3m6qdqgyme5u7e	172	23	selection	selection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	172	24	methods	method	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	172	25	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	172	26	respectively	respectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	172	27	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	172	28	specify	specify	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	172	29	how	how	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	172	30	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	172	31	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	172	32	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	172	33	scheduled	schedule	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	172	34	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	173	1	SE	SE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	173	2	indicates	indicate	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	173	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	173	4	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	173	5	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	173	6	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	173	7	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	173	8	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	173	9	scheduled	schedule	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	173	10	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	174	1	UE	UE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	174	2	reflects	reflect	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	174	3	whether	whether	IN
work_3gmfusebffdg3m6qdqgyme5u7e	174	4	another	another	DT
work_3gmfusebffdg3m6qdqgyme5u7e	174	5	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	174	6	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	174	7	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	174	8	conflict	conflict	NN
work_3gmfusebffdg3m6qdqgyme5u7e	174	9	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	174	10	currently	currently	RB
work_3gmfusebffdg3m6qdqgyme5u7e	174	11	scheduled	schedule	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	174	12	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	174	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	174	14	i.e.	i.e.	FW
work_3gmfusebffdg3m6qdqgyme5u7e	175	1	they	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	175	2	share	share	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	175	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	175	4	same	same	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	175	5	trainer	trainer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	175	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	175	7	location	location	NN
work_3gmfusebffdg3m6qdqgyme5u7e	175	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	175	9	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	175	10	timeslot	timeslot	NN
work_3gmfusebffdg3m6qdqgyme5u7e	175	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	176	1	EID	eid	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	2	corresponds	correspond	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	176	3	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	176	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	176	5	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	6	identification	identification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	7	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	8	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	176	9	R	r	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	10	stands	stand	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	176	11	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	176	12	rescheduled	reschedule	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	176	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	176	14	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	176	15	means	mean	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	176	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	176	17	if	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	176	18	swapping	swap	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	176	19	unscheduled	unscheduled	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	176	20	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	21	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	176	22	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	176	23	schedule	schedule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	24	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	176	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	176	26	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	176	27	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	28	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	176	29	possible	possible	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	176	30	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	176	31	then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	176	32	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	176	33	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	176	34	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	176	35	possible	possible	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	176	36	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	176	37	reschedule	reschedule	VB
work_3gmfusebffdg3m6qdqgyme5u7e	176	38	back	back	RP
work_3gmfusebffdg3m6qdqgyme5u7e	176	39	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	176	40	removed	removed	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	176	41	event	event	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	42	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	176	43	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	176	44	schedule	schedule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	176	45	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	177	1	OP	OP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	177	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	177	3	NP	NP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	177	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	177	5	OPE	OPE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	177	6	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	177	7	NPE	NPE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	177	8	correspond	correspond	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	177	9	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	177	10	old	old	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	177	11	priority	priority	NN
work_3gmfusebffdg3m6qdqgyme5u7e	177	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	177	13	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	177	14	priority	priority	NN
work_3gmfusebffdg3m6qdqgyme5u7e	177	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	177	16	old	old	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	177	17	penalty	penalty	NN
work_3gmfusebffdg3m6qdqgyme5u7e	177	18	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	177	19	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	177	20	penalty	penalty	NN
work_3gmfusebffdg3m6qdqgyme5u7e	177	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	177	22	respectively	respectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	177	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	178	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	178	2	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	178	3	priority	priority	NN
work_3gmfusebffdg3m6qdqgyme5u7e	178	4	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	178	5	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	178	6	penalty	penalty	NN
work_3gmfusebffdg3m6qdqgyme5u7e	178	7	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	178	8	represent	represent	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	178	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	178	10	total	total	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	178	11	pri-	pri-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	178	12	ority	ority	NN
work_3gmfusebffdg3m6qdqgyme5u7e	178	13	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	178	14	penalty	penalty	NN
work_3gmfusebffdg3m6qdqgyme5u7e	178	15	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	178	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	178	17	schedule	schedule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	178	18	after	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	178	19	applying	apply	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	178	20	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	178	21	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	178	22	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	178	23	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	178	24	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	178	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	179	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	179	2	difference	difference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	179	3	between	between	IN
work_3gmfusebffdg3m6qdqgyme5u7e	179	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	179	5	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	179	6	priority	priority	NN
work_3gmfusebffdg3m6qdqgyme5u7e	179	7	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	179	8	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	179	9	penalty	penalty	NN
work_3gmfusebffdg3m6qdqgyme5u7e	179	10	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	179	11	gives	give	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	179	12	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	179	13	value	value	NN
work_3gmfusebffdg3m6qdqgyme5u7e	179	14	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	179	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	179	16	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	179	17	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	179	18	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	180	1	IMP	IMP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	180	2	stands	stand	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	180	3	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	180	4	amount	amount	NN
work_3gmfusebffdg3m6qdqgyme5u7e	180	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	180	6	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	180	7	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	180	8	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	180	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	180	10	change	change	NN
work_3gmfusebffdg3m6qdqgyme5u7e	180	11	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	180	12	value	value	NN
work_3gmfusebffdg3m6qdqgyme5u7e	180	13	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	180	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	180	15	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	180	16	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	180	17	after	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	180	18	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	180	19	low-	low-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	180	20	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	180	21	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	180	22	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	180	23	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	180	24	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	180	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	181	1	CPU	CPU	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	181	2	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	181	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	181	4	time	time	NN
work_3gmfusebffdg3m6qdqgyme5u7e	181	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	181	6	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	181	7	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	181	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	181	9	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	181	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	181	11	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	181	12	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	181	13	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	181	14	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	181	15	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	181	16	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	181	17	SC	SC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	181	18	reflects	reflect	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	181	19	whether	whether	IN
work_3gmfusebffdg3m6qdqgyme5u7e	181	20	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	181	21	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	181	22	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	181	23	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	181	24	schedule	schedule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	181	25	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	181	26	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	181	27	changed	change	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	181	28	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	181	29	i.e.	i.e.	FW
work_3gmfusebffdg3m6qdqgyme5u7e	182	1	whether	whether	IN
work_3gmfusebffdg3m6qdqgyme5u7e	182	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	182	3	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	182	4	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	182	5	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	182	6	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	182	7	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	182	8	had	have	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	182	9	any	any	DT
work_3gmfusebffdg3m6qdqgyme5u7e	182	10	effect	effect	NN
work_3gmfusebffdg3m6qdqgyme5u7e	182	11	at	at	RB
work_3gmfusebffdg3m6qdqgyme5u7e	182	12	all	all	RB
work_3gmfusebffdg3m6qdqgyme5u7e	182	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	182	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	182	15	‘	'	``
work_3gmfusebffdg3m6qdqgyme5u7e	182	16	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	182	17	’	'	''
work_3gmfusebffdg3m6qdqgyme5u7e	182	18	changed	changed	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	182	19	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	182	20	‘	'	``
work_3gmfusebffdg3m6qdqgyme5u7e	182	21	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	182	22	’	'	''
work_3gmfusebffdg3m6qdqgyme5u7e	182	23	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	182	24	changed	change	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	182	25	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	182	26	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	183	1	Finally	finally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	183	2	AP	AP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	183	3	column	column	NN
work_3gmfusebffdg3m6qdqgyme5u7e	183	4	indicates	indicate	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	183	5	whether	whether	IN
work_3gmfusebffdg3m6qdqgyme5u7e	183	6	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	183	7	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	183	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	183	9	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	183	10	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	183	11	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	183	12	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	183	13	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	183	14	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	183	15	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	183	16	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	183	17	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	183	18	‘	'	``
work_3gmfusebffdg3m6qdqgyme5u7e	183	19	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	183	20	’	'	''
work_3gmfusebffdg3m6qdqgyme5u7e	183	21	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	183	22	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	183	23	‘	'	``
work_3gmfusebffdg3m6qdqgyme5u7e	183	24	0	0	NFP
work_3gmfusebffdg3m6qdqgyme5u7e	183	25	’	'	''
work_3gmfusebffdg3m6qdqgyme5u7e	183	26	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	183	27	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	183	28	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	183	29	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	183	30	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	183	31	hyperheuristic	hyperheuristic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	183	32	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	184	1	After	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	184	2	analysing	analyse	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	184	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	184	4	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	184	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	184	6	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	184	7	file	file	NN
work_3gmfusebffdg3m6qdqgyme5u7e	184	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	184	9	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	184	10	identified	identify	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	184	11	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	184	12	six	six	CD
work_3gmfusebffdg3m6qdqgyme5u7e	184	13	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	184	14	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	184	15	some	some	DT
work_3gmfusebffdg3m6qdqgyme5u7e	184	16	correlation	correlation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	184	17	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	184	18	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	184	19	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	184	20	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	184	21	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	184	22	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	184	23	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	184	24	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	184	25	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	184	26	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	184	27	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	184	28	OP	op	NN
work_3gmfusebffdg3m6qdqgyme5u7e	184	29	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	184	30	NP	NP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	184	31	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	184	32	OPE	OPE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	184	33	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	184	34	NPE	NPE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	184	35	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	184	36	IMP	IMP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	184	37	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	184	38	AP	AP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	184	39	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	184	40	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	185	1	How-	How-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	185	2	ever	ever	RB
work_3gmfusebffdg3m6qdqgyme5u7e	185	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	185	4	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	185	5	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	185	6	interested	interested	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	185	7	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	185	8	learn	learn	VB
work_3gmfusebffdg3m6qdqgyme5u7e	185	9	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	185	10	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	185	11	represent	represent	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	185	12	useful	useful	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	185	13	sequence	sequence	NN
work_3gmfusebffdg3m6qdqgyme5u7e	185	14	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	185	15	applied	applied	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	185	16	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	185	17	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	185	18	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	185	19	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	185	20	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	185	21	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	185	22	itera-	itera-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	185	23	tions	tion	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	185	24	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	185	25	lead	lead	NN
work_3gmfusebffdg3m6qdqgyme5u7e	185	26	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	185	27	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	185	28	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	185	29	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	185	30	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	185	31	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	185	32	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	186	1	Therefore	therefore	RB
work_3gmfusebffdg3m6qdqgyme5u7e	186	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	186	3	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	186	4	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	186	5	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	186	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	186	7	Peckish	Peckish	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	186	8	hyperheuris-	hyperheuris-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	186	9	tic	tic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	186	10	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	186	11	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	186	12	filtered	filter	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	186	13	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	186	14	retain	retain	VB
work_3gmfusebffdg3m6qdqgyme5u7e	186	15	certain	certain	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	186	16	iterations	iteration	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	186	17	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	186	18	improvements	improvement	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	186	19	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	186	20	occurred	occur	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	186	21	upon	upon	IN
work_3gmfusebffdg3m6qdqgyme5u7e	186	22	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	186	23	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	186	24	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	186	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	187	1	Furthermore	furthermore	RB
work_3gmfusebffdg3m6qdqgyme5u7e	187	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	187	3	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	187	4	PL	PL	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	187	5	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	187	6	SQL	SQL	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	187	7	program	program	NN
work_3gmfusebffdg3m6qdqgyme5u7e	187	8	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	187	9	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	187	10	designed	design	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	187	11	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	187	12	implemented	implement	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	187	13	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	187	14	generate	generate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	187	15	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	187	16	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	187	17	structure	structure	NN
work_3gmfusebffdg3m6qdqgyme5u7e	187	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	187	19	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	187	20	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	187	21	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	187	22	order	order	NN
work_3gmfusebffdg3m6qdqgyme5u7e	187	23	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	187	24	enable	enable	VB
work_3gmfusebffdg3m6qdqgyme5u7e	187	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	187	26	extraction	extraction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	187	27	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	187	28	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	187	29	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	187	30	represent	represent	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	187	31	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	187	32	sequence	sequence	NN
work_3gmfusebffdg3m6qdqgyme5u7e	187	33	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	187	34	applied	applied	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	187	35	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	187	36	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	187	37	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	187	38	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	187	39	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	188	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	188	2	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	188	3	words	word	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	188	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	188	5	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	188	6	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	188	7	instance	instance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	188	8	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	188	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	188	10	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	188	11	structure	structure	NN
work_3gmfusebffdg3m6qdqgyme5u7e	188	12	should	should	MD
work_3gmfusebffdg3m6qdqgyme5u7e	188	13	contain	contain	VB
work_3gmfusebffdg3m6qdqgyme5u7e	188	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	188	15	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	188	16	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	188	17	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	188	18	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	188	19	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	188	20	improved	improve	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	188	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	188	22	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	188	23	func-	func-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	188	24	tion	tion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	188	25	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	188	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	188	27	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	188	28	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	188	29	along	along	IN
work_3gmfusebffdg3m6qdqgyme5u7e	188	30	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	188	31	others	other	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	188	32	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	188	33	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	188	34	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	188	35	previous	previous	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	188	36	iterations	iteration	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	188	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	189	1	Specifically	specifically	RB
work_3gmfusebffdg3m6qdqgyme5u7e	189	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	189	3	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	189	4	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	189	5	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	189	6	run	run	NN
work_3gmfusebffdg3m6qdqgyme5u7e	189	7	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	189	8	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	189	9	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	189	10	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	189	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	189	12	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	189	13	record	record	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	189	14	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	189	15	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	189	16	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	189	17	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	189	18	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	189	19	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	189	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	189	21	previous	previous	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	189	22	three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	189	23	iterations	iteration	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	189	24	along	along	IN
work_3gmfusebffdg3m6qdqgyme5u7e	189	25	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	189	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	189	27	ones	one	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	189	28	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	189	29	improved	improve	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	189	30	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	189	31	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	189	32	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	189	33	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	189	34	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	189	35	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	189	36	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	189	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	190	1	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	2	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	190	3	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	190	4	part	part	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	190	6	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	190	7	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	8	run	run	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	190	10	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	190	12	gener-	gener-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	13	ated	ate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	190	14	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	190	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	190	16	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	190	17	structure	structure	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	18	after	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	190	19	applying	apply	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	190	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	190	21	PL	PL	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	190	22	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	190	23	SQL	SQL	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	190	24	pro-	pro-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	25	gram	gram	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	26	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	190	27	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	190	28	initial	initial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	190	29	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	30	features	feature	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	190	31	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	190	32	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	190	33	columns	column	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	190	34	LLH_3	LLH_3	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	190	35	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	190	36	LLH_2	llh_2	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	37	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	190	38	LLH_1	LLH_1	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	190	39	represent	represent	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	190	40	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	190	41	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	190	42	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	190	43	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	44	heu-	heu-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	190	45	ristics	ristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	190	46	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	190	47	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	190	48	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	190	49	previous	previous	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	190	50	three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	190	51	iterations	iteration	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	190	52	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	191	1	Column	Column	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	191	2	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	191	3	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	191	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	191	5	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	191	6	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	191	7	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	191	8	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	191	9	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	191	10	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	191	11	improved	improve	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	191	12	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	191	13	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	191	14	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	191	15	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	191	16	column	column	NN
work_3gmfusebffdg3m6qdqgyme5u7e	191	17	Imp	imp	NN
work_3gmfusebffdg3m6qdqgyme5u7e	191	18	repre-	repre-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	191	19	sents	sent	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	191	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	191	21	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	191	22	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	191	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	191	24	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	191	25	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	191	26	value	value	NN
work_3gmfusebffdg3m6qdqgyme5u7e	191	27	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	192	1	Finally	finally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	192	2	column	column	NN
work_3gmfusebffdg3m6qdqgyme5u7e	192	3	Apply	Apply	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	192	4	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	192	5	whether	whether	IN
work_3gmfusebffdg3m6qdqgyme5u7e	192	6	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	192	7	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	192	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	192	9	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	192	10	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	192	11	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	192	12	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	192	13	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	192	14	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	192	15	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	192	16	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	192	17	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	192	18	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	192	19	hype-	hype-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	192	20	rheuristic	rheuristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	192	21	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	193	1	As	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	193	2	shown	show	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	193	3	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	193	4	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	193	5	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	193	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	193	7	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	193	8	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	193	9	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	193	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	193	11	hyperheuristic	hyperheuristic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	193	12	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	193	13	multiple	multiple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	193	14	labels	label	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	193	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	193	16	since	since	IN
work_3gmfusebffdg3m6qdqgyme5u7e	193	17	there	there	EX
work_3gmfusebffdg3m6qdqgyme5u7e	193	18	could	could	MD
work_3gmfusebffdg3m6qdqgyme5u7e	193	19	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	193	20	more	more	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	193	21	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	193	22	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	193	23	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	193	24	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	193	25	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	193	26	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	193	27	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	193	28	improve	improve	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	193	29	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	193	30	objec-	objec-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	193	31	tive	tive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	193	32	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	193	33	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	193	34	any	any	DT
work_3gmfusebffdg3m6qdqgyme5u7e	193	35	give	give	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	193	36	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	193	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	194	1	Hence	hence	RB
work_3gmfusebffdg3m6qdqgyme5u7e	194	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	194	3	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	194	4	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	194	5	instance	instance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	194	6	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	194	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	194	8	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	194	9	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	194	10	may	may	MD
work_3gmfusebffdg3m6qdqgyme5u7e	194	11	associate	associate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	194	12	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	194	13	more	more	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	194	14	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	194	15	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	194	16	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	194	17	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	195	1	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	2	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	3	One	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	4	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	195	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	195	7	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	195	8	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	195	9	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	195	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	195	11	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	12	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	13	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	14	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	15	ESM	ESM	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	16	RSM	RSM	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	17	SE	SE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	18	UE	UE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	19	EID	eid	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	20	R	r	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	21	OP	op	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	22	NP	NP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	23	OPE	OPE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	24	NPE	NPE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	25	IMP	IMP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	26	CPU	CPU	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	27	SC	SC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	28	AP	AP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	29	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	30	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	31	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	32	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	33	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	34	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	35	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	36	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	37	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	38	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	39	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	40	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	41	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	42	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	43	0.03	0.03	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	44	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	45	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	46	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	47	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	48	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	49	128	128	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	50	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	51	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	52	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	53	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	54	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	55	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	56	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	57	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	58	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	59	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	60	0.02	0.02	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	61	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	62	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	63	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	64	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	65	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	66	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	67	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	68	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	69	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	70	61	61	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	71	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	72	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	73	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	74	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	75	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	76	0.02	0.02	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	77	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	78	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	79	27	27	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	80	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	81	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	82	36	36	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	83	�	�	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	84	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	85	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	86	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	87	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	88	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	89	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	90	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	91	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	92	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	93	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	94	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	95	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	96	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	97	37	37	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	98	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	99	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	100	70	70	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	101	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	102	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	103	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	104	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	105	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	106	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	107	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	108	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	109	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	110	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	111	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	112	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	113	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	114	43	43	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	115	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	116	8	8	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	117	142	142	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	118	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	119	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	120	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	121	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	122	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	123	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	124	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	125	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	126	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	127	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	128	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	129	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	130	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	131	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	132	47	47	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	133	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	134	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	135	22	22	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	136	�	�	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	137	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	138	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	139	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	140	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	141	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	142	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	143	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	144	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	145	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	146	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	147	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	148	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	149	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	150	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	151	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	152	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	153	18	18	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	154	�	�	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	155	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	156	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	157	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	158	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	159	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	160	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	161	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	162	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	163	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	164	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	165	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	166	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	167	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	168	68	68	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	169	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	170	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	171	25	25	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	172	�	�	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	195	173	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	174	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	175	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	176	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	177	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	178	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	179	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	180	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	181	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	182	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	183	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	184	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	185	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	186	74	74	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	187	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	188	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	189	57	57	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	190	�	�	NN
work_3gmfusebffdg3m6qdqgyme5u7e	195	191	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	192	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	193	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	194	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	195	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	196	72,999	72,999	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	197	73,099	73,099	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	198	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	199	830	830	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	200	100	100	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	201	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	202	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	203	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	204	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	205	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	206	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	195	207	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	208	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	209	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	195	210	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	195	211	Systems	Systems	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	195	212	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	195	213	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	195	214	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	215	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	195	216	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	217	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	195	218	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	219	1097	1097	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	220	4.2	4.2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	195	221	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	196	1	Experimental	experimental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	196	2	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	196	3	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	196	4	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	196	5	section	section	NN
work_3gmfusebffdg3m6qdqgyme5u7e	196	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	196	7	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	196	8	describe	describe	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	196	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	196	10	experiments	experiment	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	196	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	196	12	evaluate	evaluate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	196	13	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	196	14	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	196	15	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	196	16	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	196	17	features	feature	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	196	18	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	196	19	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	196	20	dif-	dif-	DT
work_3gmfusebffdg3m6qdqgyme5u7e	196	21	ferent	ferent	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	196	22	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	196	23	learning	learn	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	196	24	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	196	25	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	196	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	196	27	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	196	28	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	196	29	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	196	30	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	197	1	We	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	197	2	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	197	3	performed	perform	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	197	4	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	197	5	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	197	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	197	7	experiments	experiment	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	197	8	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	197	9	ten	ten	CD
work_3gmfusebffdg3m6qdqgyme5u7e	197	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	197	11	fold	fold	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	197	12	cross	cross	NN
work_3gmfusebffdg3m6qdqgyme5u7e	197	13	validation	validation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	197	14	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	197	15	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	197	16	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	197	17	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	197	18	files	file	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	197	19	derived	derive	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	197	20	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	197	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	197	22	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	197	23	hyperheuristics	hyperheuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	197	24	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	197	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	197	26	trainer	trainer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	197	27	scheduling	schedule	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	197	28	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	197	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	198	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	198	2	sizes	size	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	198	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	198	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	198	5	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	198	6	files	file	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	198	7	after	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	198	8	applying	apply	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	198	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	198	10	PL/	PL/	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	198	11	SQL	SQL	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	198	12	program	program	NN
work_3gmfusebffdg3m6qdqgyme5u7e	198	13	vary	vary	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	198	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	199	1	There	there	EX
work_3gmfusebffdg3m6qdqgyme5u7e	199	2	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	199	3	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	199	4	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	199	5	files	file	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	199	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	199	7	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	199	8	contains	contain	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	199	9	182–750	182–750	CD
work_3gmfusebffdg3m6qdqgyme5u7e	199	10	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	199	11	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	199	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	199	13	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	199	14	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	199	15	file	file	NN
work_3gmfusebffdg3m6qdqgyme5u7e	199	16	represents	represent	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	199	17	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	199	18	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	199	19	single	single	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	199	20	run	run	NN
work_3gmfusebffdg3m6qdqgyme5u7e	199	21	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	199	22	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	199	23	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	199	24	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	199	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	200	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	200	2	remaining	remain	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	200	3	four	four	CD
work_3gmfusebffdg3m6qdqgyme5u7e	200	4	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	200	5	files	file	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	200	6	contain	contain	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	200	7	1500–2400	1500–2400	CD
work_3gmfusebffdg3m6qdqgyme5u7e	200	8	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	200	9	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	200	10	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	200	11	represent	represent	VB
work_3gmfusebffdg3m6qdqgyme5u7e	200	12	ten	ten	CD
work_3gmfusebffdg3m6qdqgyme5u7e	200	13	combined	combined	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	200	14	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	200	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	201	1	Two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	201	2	popular	popular	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	201	3	traditional	traditional	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	201	4	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	201	5	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	201	6	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	201	7	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	201	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	201	9	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	201	10	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	201	11	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	201	12	three	three	CD
work_3gmfusebffdg3m6qdqgyme5u7e	201	13	associa-	associa-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	201	14	tive	tive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	201	15	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	201	16	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	201	17	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	201	18	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	201	19	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	201	20	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	201	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	201	22	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	201	23	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	201	24	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	201	25	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	201	26	compared	compare	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	201	27	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	201	28	terms	term	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	201	29	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	201	30	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	201	31	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	202	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	202	2	experiments	experiment	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	202	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	202	4	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	202	5	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	202	6	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	202	7	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	202	8	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	202	9	conducted	conduct	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	202	10	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	202	11	Weka	Weka	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	202	12	software	software	NN
work_3gmfusebffdg3m6qdqgyme5u7e	202	13	system	system	NN
work_3gmfusebffdg3m6qdqgyme5u7e	202	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	202	15	WEKA	WEKA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	202	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	202	17	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	202	18	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	202	19	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	202	20	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	202	21	experiments	experiment	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	202	22	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	202	23	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	202	24	performed	perform	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	202	25	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	202	26	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	202	27	VC++	VC++	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	202	28	version	version	NN
work_3gmfusebffdg3m6qdqgyme5u7e	202	29	provided	provide	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	202	30	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	202	31	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	202	32	authors	author	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	202	33	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	202	34	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	202	35	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	202	36	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	202	37	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	202	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	203	1	Finally	finally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	203	2	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	203	3	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	203	4	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	203	5	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	203	6	were	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	203	7	implemented	implement	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	203	8	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	203	9	Java	Java	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	203	10	under	under	IN
work_3gmfusebffdg3m6qdqgyme5u7e	203	11	Windows	Windows	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	203	12	XP	XP	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	203	13	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	203	14	1.7	1.7	CD
work_3gmfusebffdg3m6qdqgyme5u7e	203	15	Ghz	Ghz	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	203	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	203	17	256	256	CD
work_3gmfusebffdg3m6qdqgyme5u7e	203	18	RAM	ram	NN
work_3gmfusebffdg3m6qdqgyme5u7e	203	19	machine	machine	NN
work_3gmfusebffdg3m6qdqgyme5u7e	203	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	204	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	204	2	relative	relative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	204	3	prediction	prediction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	204	4	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	204	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	204	6	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	204	7	corresponds	correspond	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	204	8	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	204	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	204	10	difference	difference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	204	11	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	204	12	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	204	13	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	204	14	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	204	15	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	204	16	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	204	17	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	204	18	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	204	19	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	204	20	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	204	21	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	204	22	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	204	23	respect	respect	NN
work_3gmfusebffdg3m6qdqgyme5u7e	204	24	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	204	25	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	204	26	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	204	27	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	204	28	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	204	29	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	204	30	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	204	31	shown	show	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	204	32	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	204	33	Figs	Figs	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	204	34	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	205	1	2–4	2–4	LS
work_3gmfusebffdg3m6qdqgyme5u7e	205	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	205	3	respectively	respectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	205	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	206	1	Fig	fig	NN
work_3gmfusebffdg3m6qdqgyme5u7e	206	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	207	1	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	207	2	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	207	3	instance	instance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	207	4	signifies	signify	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	207	5	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	207	6	difference	difference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	207	7	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	207	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	207	9	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	207	10	between	between	IN
work_3gmfusebffdg3m6qdqgyme5u7e	207	11	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	207	12	classifiers	classifier	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	207	13	rela-	rela-	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	207	14	tive	tive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	207	15	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	207	16	those	those	DT
work_3gmfusebffdg3m6qdqgyme5u7e	207	17	derived	derive	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	207	18	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	207	19	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	207	20	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	207	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	207	22	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	207	23	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	207	24	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	207	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	207	26	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	207	27	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	207	28	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	207	29	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	207	30	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	208	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	208	2	relative	relative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	208	3	prediction	prediction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	208	4	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	208	5	figures	figure	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	208	6	shown	show	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	208	7	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	208	8	computed	compute	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	208	9	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	208	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	208	11	formulae	formulae	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	208	12	ðAccuracyMCAR	ðaccuracymcar	CD
work_3gmfusebffdg3m6qdqgyme5u7e	208	13	�	�	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	208	14	AccuracyCBAÞ	accuracycbaþ	CD
work_3gmfusebffdg3m6qdqgyme5u7e	208	15	AccuracyCBA	AccuracyCBA	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	208	16	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	208	17	ðAccuracyMMAC	ðaccuracymmac	CD
work_3gmfusebffdg3m6qdqgyme5u7e	208	18	�	�	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	208	19	AccuracyCBAÞ	accuracycbaþ	CD
work_3gmfusebffdg3m6qdqgyme5u7e	208	20	AccuracyCBA	AccuracyCBA	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	208	21	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	208	22	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	208	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	209	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	209	2	same	same	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	209	3	sort	sort	NN
work_3gmfusebffdg3m6qdqgyme5u7e	209	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	209	5	formulae	formulae	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	209	6	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	209	7	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	209	8	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	209	9	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	209	10	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	209	11	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	209	12	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	209	13	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	209	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	209	15	respectively	respectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	209	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	210	1	We	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	210	2	used	use	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	210	3	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	210	4	minsupp	minsupp	NN
work_3gmfusebffdg3m6qdqgyme5u7e	210	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	210	6	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	210	7	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	210	8	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	210	9	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	210	10	minconf	minconf	NN
work_3gmfusebffdg3m6qdqgyme5u7e	210	11	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	210	12	30	30	CD
work_3gmfusebffdg3m6qdqgyme5u7e	210	13	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	210	14	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	210	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	210	16	experiments	experiment	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	210	17	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	210	18	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	210	19	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	210	20	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	210	21	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	210	22	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	210	23	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	210	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	211	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	211	2	label	label	NN
work_3gmfusebffdg3m6qdqgyme5u7e	211	3	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	211	4	weight	weight	NN
work_3gmfusebffdg3m6qdqgyme5u7e	211	5	evaluation	evaluation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	211	6	mea-	mea-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	211	7	sure	sure	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	211	8	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	211	9	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	211	10	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	211	11	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	211	12	.	.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	211	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	211	14	2004	2004	CD
work_3gmfusebffdg3m6qdqgyme5u7e	211	15	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	211	16	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	211	17	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	211	18	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	211	19	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	211	20	calculate	calculate	VB
work_3gmfusebffdg3m6qdqgyme5u7e	211	21	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	211	22	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	211	23	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	211	24	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	211	25	algorithm	algorithm	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	211	26	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	211	27	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	211	28	figures	figure	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	211	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	212	1	-40.00	-40.00	:
work_3gmfusebffdg3m6qdqgyme5u7e	212	2	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	3	-30.00	-30.00	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	212	4	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	5	-20.00	-20.00	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	212	6	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	7	-10.00	-10.00	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	212	8	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	9	0.00	0.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	10	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	11	10.00	10.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	12	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	13	20.00	20.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	14	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	15	30.00	30.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	16	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	17	40.00	40.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	18	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	19	50.00	50.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	20	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	21	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	22	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	23	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	24	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	25	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	26	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	27	7	7	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	28	8	8	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	29	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	30	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	31	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	32	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	33	13	13	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	34	14	14	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	35	15	15	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	36	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	212	37	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	212	38	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	212	39	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	212	40	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	41	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	42	u	u	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	43	ra	ra	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	212	44	c	c	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	212	45	y	y	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	212	46	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	212	47	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	48	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	212	49	d	d	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	50	if	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	212	51	fe	fe	FW
work_3gmfusebffdg3m6qdqgyme5u7e	212	52	re	re	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	212	53	n	n	CC
work_3gmfusebffdg3m6qdqgyme5u7e	212	54	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	55	e	e	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	56	M	M	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	212	57	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	212	58	R	r	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	59	M	m	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	60	M	M	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	212	61	A	A	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	212	62	C	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	63	CB	cb	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	64	A	a	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	65	Fig	fig	NN
work_3gmfusebffdg3m6qdqgyme5u7e	212	66	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	213	1	2	2	LS
work_3gmfusebffdg3m6qdqgyme5u7e	213	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	214	1	Difference	difference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	214	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	214	3	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	214	4	between	between	IN
work_3gmfusebffdg3m6qdqgyme5u7e	214	5	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	214	6	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	214	7	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	214	8	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	214	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	214	10	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	214	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	214	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	215	1	-40.00	-40.00	:
work_3gmfusebffdg3m6qdqgyme5u7e	215	2	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	3	-20.00	-20.00	.
work_3gmfusebffdg3m6qdqgyme5u7e	215	4	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	5	0.00	0.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	6	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	7	20.00	20.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	8	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	9	40.00	40.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	10	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	11	60.00	60.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	12	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	13	80.00	80.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	14	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	15	100.00	100.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	16	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	17	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	18	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	19	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	20	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	21	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	22	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	23	7	7	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	24	8	8	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	25	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	26	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	27	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	28	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	29	13	13	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	30	14	14	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	31	15	15	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	32	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	215	33	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	215	34	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	215	35	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	215	36	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	37	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	38	u	u	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	39	ra	ra	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	215	40	c	c	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	215	41	y	y	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	215	42	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	215	43	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	44	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	215	45	D	d	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	46	if	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	215	47	fe	fe	FW
work_3gmfusebffdg3m6qdqgyme5u7e	215	48	re	re	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	215	49	n	n	CC
work_3gmfusebffdg3m6qdqgyme5u7e	215	50	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	51	e	e	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	52	M	M	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	215	53	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	215	54	R	r	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	55	M	m	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	56	M	m	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	57	A	a	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	58	C	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	59	P	p	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	60	A	a	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	61	RT	rt	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	62	Fig	fig	NN
work_3gmfusebffdg3m6qdqgyme5u7e	215	63	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	216	1	3	3	LS
work_3gmfusebffdg3m6qdqgyme5u7e	216	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	217	1	Difference	difference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	217	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	217	3	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	217	4	between	between	IN
work_3gmfusebffdg3m6qdqgyme5u7e	217	5	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	217	6	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	217	7	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	217	8	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	217	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	217	10	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	217	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	217	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	218	1	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	2	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	3	Sample	Sample	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	218	5	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	6	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	218	7	Iteration	Iteration	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	8	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	9	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	10	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	11	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	12	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	13	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	14	LLH	LLH	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	15	Imp	Imp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	16	Apply	Apply	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	17	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	18	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	19	68	68	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	20	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	21	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	22	100	100	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	23	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	24	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	25	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	26	68	68	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	27	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	28	43	43	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	29	25	25	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	30	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	31	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	32	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	33	27	27	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	34	43	43	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	35	74	74	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	36	50	50	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	37	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	38	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	39	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	40	27	27	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	41	43	43	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	42	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	43	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	44	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	45	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	46	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	47	27	27	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	48	43	43	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	49	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	50	8	8	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	51	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	52	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	53	43	43	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	54	27	27	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	55	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	56	68	68	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	57	875	875	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	58	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	59	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	60	37	37	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	61	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	62	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	63	37	37	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	64	1055	1055	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	65	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	66	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	67	37	37	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	68	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	69	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	70	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	71	950	950	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	72	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	73	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	74	37	37	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	75	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	76	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	77	74	74	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	78	69	69	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	79	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	80	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	81	37	37	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	82	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	83	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	84	58	58	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	85	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	86	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	87	1098	1098	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	88	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	89	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	90	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	218	91	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	92	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	93	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	218	94	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	218	95	Systems	Systems	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	218	96	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	218	97	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	218	98	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	99	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	218	100	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	101	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	218	102	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	218	103	Label	label	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	104	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	218	105	weight	weight	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	106	evaluation	evaluation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	107	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	108	assigns	assign	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	218	109	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	218	110	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	111	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	218	112	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	218	113	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	218	114	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	218	115	label	label	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	218	116	rule	rule	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	218	117	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	218	118	value	value	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	119	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	218	120	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	218	121	its	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	218	122	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	123	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	218	124	occurrences	occurrence	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	218	125	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	218	126	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	127	’s	’s	POS
work_3gmfusebffdg3m6qdqgyme5u7e	218	128	consequent	consequent	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	129	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	218	130	left	left	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	218	131	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	218	132	hand	hand	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	133	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	218	134	side	side	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	135	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	218	136	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	218	137	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	218	138	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	218	139	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	218	140	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	219	1	To	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	219	2	clarify	clarify	VB
work_3gmfusebffdg3m6qdqgyme5u7e	219	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	219	4	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	219	5	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	219	6	object	object	NN
work_3gmfusebffdg3m6qdqgyme5u7e	219	7	may	may	MD
work_3gmfusebffdg3m6qdqgyme5u7e	219	8	belong	belong	VB
work_3gmfusebffdg3m6qdqgyme5u7e	219	9	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	219	10	several	several	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	219	11	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	219	12	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	219	13	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	219	14	one	one	NN
work_3gmfusebffdg3m6qdqgyme5u7e	219	15	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	219	16	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	219	17	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	219	18	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	219	19	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	219	20	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	219	21	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	219	22	occur-	occur-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	219	23	rences	rence	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	219	24	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	219	25	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	219	26	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	219	27	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	219	28	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	219	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	220	1	Each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	220	2	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	220	3	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	220	4	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	220	5	assigned	assign	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	220	6	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	220	7	weight	weight	NN
work_3gmfusebffdg3m6qdqgyme5u7e	220	8	according	accord	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	220	9	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	220	10	how	how	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	220	11	many	many	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	220	12	times	time	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	220	13	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	220	14	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	220	15	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	220	16	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	220	17	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	220	18	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	220	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	220	20	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	220	21	object	object	NN
work_3gmfusebffdg3m6qdqgyme5u7e	220	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	221	1	Thus	thus	RB
work_3gmfusebffdg3m6qdqgyme5u7e	221	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	221	3	unlike	unlike	IN
work_3gmfusebffdg3m6qdqgyme5u7e	221	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	221	5	error-	error-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	6	rate	rate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	7	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	8	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	221	9	Witten	Witten	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	221	10	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	221	11	Frank	Frank	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	221	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	221	13	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	221	14	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	221	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	221	16	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	221	17	considers	consider	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	221	18	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	221	19	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	221	20	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	21	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	221	22	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	221	23	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	24	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	221	25	computing	compute	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	221	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	221	27	correct	correct	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	221	28	predictions	prediction	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	221	29	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	221	30	label	label	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	31	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	221	32	weight	weight	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	33	gives	give	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	221	34	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	221	35	value	value	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	36	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	221	37	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	221	38	possible	possible	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	221	39	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	40	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	221	41	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	221	42	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	43	according	accord	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	221	44	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	221	45	its	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	221	46	frequency	frequency	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	47	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	221	48	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	221	49	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	221	50	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	221	51	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	222	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	222	2	gives	give	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	222	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	222	4	top	top	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	222	5	ranked	rank	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	222	6	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	222	7	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	222	8	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	222	9	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	222	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	222	11	highest	high	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	222	12	weight	weight	NN
work_3gmfusebffdg3m6qdqgyme5u7e	222	13	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	222	14	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	222	15	all	all	PDT
work_3gmfusebffdg3m6qdqgyme5u7e	222	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	222	17	weight	weight	NN
work_3gmfusebffdg3m6qdqgyme5u7e	222	18	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	222	19	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	222	20	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	222	21	rate	rate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	222	22	method	method	NN
work_3gmfusebffdg3m6qdqgyme5u7e	222	23	does	do	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	222	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	223	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	223	2	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	223	3	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	223	4	shown	show	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	223	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	223	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	223	7	graphs	graphs	NN
work_3gmfusebffdg3m6qdqgyme5u7e	223	8	indicated	indicate	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	223	9	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	223	10	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	223	11	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	223	12	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	223	13	outperformed	outperform	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	223	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	223	15	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	223	16	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	223	17	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	223	18	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	223	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	223	20	majority	majority	NN
work_3gmfusebffdg3m6qdqgyme5u7e	223	21	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	223	22	test	test	NN
work_3gmfusebffdg3m6qdqgyme5u7e	223	23	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	223	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	224	1	Particularly	particularly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	224	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	224	3	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	224	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	224	5	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	224	6	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	224	7	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	224	8	outperformed	outperform	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	224	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	224	10	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	224	11	learning	learn	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	224	12	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	224	13	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	224	14	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	224	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	224	16	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	224	17	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	224	18	7	7	CD
work_3gmfusebffdg3m6qdqgyme5u7e	224	19	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	224	20	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	224	21	benchmark	benchmark	NN
work_3gmfusebffdg3m6qdqgyme5u7e	224	22	problems	problem	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	224	23	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	224	24	respectively	respectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	224	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	225	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	225	2	won	win	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	225	3	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	225	4	loss	loss	NN
work_3gmfusebffdg3m6qdqgyme5u7e	225	5	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	225	6	tied	tie	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	225	7	record	record	NN
work_3gmfusebffdg3m6qdqgyme5u7e	225	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	225	9	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	225	10	against	against	IN
work_3gmfusebffdg3m6qdqgyme5u7e	225	11	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	225	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	225	13	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	225	14	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	225	15	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	225	16	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	225	17	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	18	-	-	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	225	19	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	20	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	225	21	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	22	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	225	23	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	24	-	-	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	225	25	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	26	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	225	27	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	28	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	225	29	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	30	-	-	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	225	31	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	32	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	225	33	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	225	34	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	225	35	respectively	respectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	225	36	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	226	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	226	2	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	226	3	won	win	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	226	4	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	226	5	loss	loss	NN
work_3gmfusebffdg3m6qdqgyme5u7e	226	6	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	226	7	tied	tie	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	226	8	records	record	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	226	9	against	against	IN
work_3gmfusebffdg3m6qdqgyme5u7e	226	10	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	226	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	226	12	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	226	13	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	226	14	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	226	15	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	226	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	226	17	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	18	-	-	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	226	19	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	20	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	226	21	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	22	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	226	23	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	24	-	-	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	226	25	7	7	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	26	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	226	27	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	28	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	226	29	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	30	-	-	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	226	31	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	32	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	226	33	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	226	34	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	226	35	res-	res-	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	226	36	pectively	pectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	226	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	227	1	These	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	227	2	figures	figure	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	227	3	show	show	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	227	4	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	227	5	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	227	6	classifica-	classifica-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	227	7	tion	tion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	227	8	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	227	9	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	227	10	able	able	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	227	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	227	12	produce	produce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	227	13	more	more	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	227	14	accurate	accurate	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	227	15	classifiers	classifier	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	227	16	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	227	17	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	227	18	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	227	19	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	227	20	rule	rule	VB
work_3gmfusebffdg3m6qdqgyme5u7e	227	21	induction	induction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	227	22	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	227	23	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	227	24	res-	res-	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	227	25	pectively	pectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	227	26	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	228	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	228	2	should	should	MD
work_3gmfusebffdg3m6qdqgyme5u7e	228	3	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	228	4	noted	note	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	228	5	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	228	6	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	228	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	228	8	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	228	9	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	228	10	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	228	11	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	228	12	outperformed	outperformed	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	228	13	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	228	14	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	228	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	228	16	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	228	17	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	228	18	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	228	19	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	228	20	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	228	21	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	228	22	14	14	CD
work_3gmfusebffdg3m6qdqgyme5u7e	228	23	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	228	24	Figs	Figs	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	228	25	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	229	1	2–4	2–4	LS
work_3gmfusebffdg3m6qdqgyme5u7e	229	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	229	3	respectively	respectively	RB
work_3gmfusebffdg3m6qdqgyme5u7e	229	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	230	1	After	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	230	2	analysing	analyse	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	230	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	230	4	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	230	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	230	6	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	230	7	par-	par-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	230	8	ticular	ticular	NN
work_3gmfusebffdg3m6qdqgyme5u7e	230	9	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	230	10	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	230	11	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	230	12	turned	turn	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	230	13	out	out	RP
work_3gmfusebffdg3m6qdqgyme5u7e	230	14	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	230	15	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	230	16	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	230	17	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	230	18	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	230	19	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	230	20	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	230	21	evenly	evenly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	230	22	distributed	distribute	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	230	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	231	1	For	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	231	2	example	example	NN
work_3gmfusebffdg3m6qdqgyme5u7e	231	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	231	4	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	231	5	LLH2	LLH2	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	231	6	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	231	7	LLH20	LLH20	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	231	8	were	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	231	9	fre-	fre-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	231	10	quently	quently	RB
work_3gmfusebffdg3m6qdqgyme5u7e	231	11	applied	apply	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	231	12	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	231	13	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	231	14	hyperheuristic	hyperheuristic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	231	15	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	231	16	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	231	17	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	231	18	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	231	19	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	231	20	whereas	wherea	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	231	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	231	22	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	231	23	LLH27	LLH27	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	231	24	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	231	25	LLH37	LLH37	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	231	26	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	231	27	LLH43	LLH43	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	231	28	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	231	29	LLH58	LLH58	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	231	30	were	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	231	31	rarely	rarely	RB
work_3gmfusebffdg3m6qdqgyme5u7e	231	32	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	231	33	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	231	34	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	231	35	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	231	36	hyperheuristic	hyperheuristic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	231	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	232	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	232	2	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	232	3	compound	compound	NN
work_3gmfusebffdg3m6qdqgyme5u7e	232	4	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	232	5	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	232	6	limited	limited	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	232	7	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	232	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	232	9	training	train	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	232	10	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	232	11	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	232	12	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	232	13	particular	particular	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	232	14	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	232	15	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	232	16	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	232	17	182	182	CD
work_3gmfusebffdg3m6qdqgyme5u7e	232	18	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	232	19	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	232	20	objects	object	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	232	21	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	232	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	233	1	Analysis	analysis	NN
work_3gmfusebffdg3m6qdqgyme5u7e	233	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	233	4	classifiers	classifier	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	233	5	produced	produce	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	233	6	revealed	reveal	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	233	7	consistency	consistency	NN
work_3gmfusebffdg3m6qdqgyme5u7e	233	8	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	233	10	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	233	11	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	12	both	both	CC
work_3gmfusebffdg3m6qdqgyme5u7e	233	13	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	233	14	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	233	15	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	233	16	because	because	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	233	18	differ-	differ-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	233	19	ence	ence	NN
work_3gmfusebffdg3m6qdqgyme5u7e	233	20	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	21	average	average	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	233	22	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	233	24	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	233	25	between	between	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	26	them	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	233	27	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	28	all	all	DT
work_3gmfusebffdg3m6qdqgyme5u7e	233	29	exper-	exper-	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	233	30	iments	iment	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	233	31	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	233	32	less	less	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	233	33	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	233	34	1.6	1.6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	233	35	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	233	36	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	234	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	234	2	supports	support	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	234	3	research	research	NN
work_3gmfusebffdg3m6qdqgyme5u7e	234	4	works	work	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	234	5	conducted	conduct	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	234	6	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	234	7	Frank	Frank	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	234	8	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	234	9	Witten	Witten	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	234	10	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	234	11	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	234	12	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	234	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	234	14	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	234	15	they	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	234	16	show	show	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	234	17	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	234	18	despite	despite	IN
work_3gmfusebffdg3m6qdqgyme5u7e	234	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	234	20	simplicity	simplicity	NN
work_3gmfusebffdg3m6qdqgyme5u7e	234	21	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	234	22	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	234	23	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	234	24	it	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	234	25	generates	generate	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	234	26	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	234	27	as	as	RB
work_3gmfusebffdg3m6qdqgyme5u7e	234	28	accurately	accurately	RB
work_3gmfusebffdg3m6qdqgyme5u7e	234	29	as	as	IN
work_3gmfusebffdg3m6qdqgyme5u7e	234	30	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	234	31	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	234	32	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	234	33	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	235	1	Also	also	RB
work_3gmfusebffdg3m6qdqgyme5u7e	235	2	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	235	3	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	235	4	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	235	5	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	235	6	showed	show	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	235	7	consistency	consistency	NN
work_3gmfusebffdg3m6qdqgyme5u7e	235	8	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	235	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	235	10	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	235	11	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	235	12	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	235	13	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	235	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	236	1	Analysis	analysis	NN
work_3gmfusebffdg3m6qdqgyme5u7e	236	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	236	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	236	4	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	236	5	features	feature	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	236	6	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	236	7	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	236	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	236	9	hyper-	hyper-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	236	10	huristic	huristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	236	11	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	236	12	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	236	13	been	be	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	236	14	carried	carry	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	236	15	out	out	RP
work_3gmfusebffdg3m6qdqgyme5u7e	236	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	237	1	Fig	fig	NN
work_3gmfusebffdg3m6qdqgyme5u7e	237	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	238	1	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	238	2	shows	show	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	238	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	238	4	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	238	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	238	6	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	238	7	extracted	extract	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	238	8	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	238	9	nine	nine	CD
work_3gmfusebffdg3m6qdqgyme5u7e	238	10	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	238	11	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	238	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	238	13	categorised	categorise	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	238	14	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	238	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	238	16	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	238	17	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	238	18	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	238	19	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	239	1	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	239	2	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	239	3	able	able	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	239	4	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	239	5	extract	extract	VB
work_3gmfusebffdg3m6qdqgyme5u7e	239	6	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	239	7	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	239	8	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	239	9	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	239	10	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	239	11	up	up	IN
work_3gmfusebffdg3m6qdqgyme5u7e	239	12	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	239	13	four	four	CD
work_3gmfusebffdg3m6qdqgyme5u7e	239	14	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	239	15	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	239	16	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	239	17	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	239	18	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	240	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	240	2	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	240	3	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	240	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	240	5	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	240	6	principle	principle	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	240	7	reasons	reason	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	240	8	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	240	9	improving	improve	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	240	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	240	11	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	240	12	within	within	IN
work_3gmfusebffdg3m6qdqgyme5u7e	240	13	applications	application	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	240	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	241	1	Fig	fig	NN
work_3gmfusebffdg3m6qdqgyme5u7e	241	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	242	1	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	242	2	also	also	RB
work_3gmfusebffdg3m6qdqgyme5u7e	242	3	demonstrates	demonstrate	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	242	4	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	242	5	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	242	6	majority	majority	NN
work_3gmfusebffdg3m6qdqgyme5u7e	242	7	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	242	8	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	242	9	created	create	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	242	10	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	242	11	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	242	12	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	242	13	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	242	14	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	242	15	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	242	16	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	242	17	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	242	18	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	242	19	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	242	20	labels	label	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	242	21	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	243	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	243	2	turns	turn	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	243	3	out	out	RP
work_3gmfusebffdg3m6qdqgyme5u7e	243	4	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	243	5	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	243	6	reflects	reflect	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	243	7	accurately	accurately	RB
work_3gmfusebffdg3m6qdqgyme5u7e	243	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	243	9	nature	nature	NN
work_3gmfusebffdg3m6qdqgyme5u7e	243	10	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	243	11	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	243	12	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	243	13	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	243	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	243	15	since	since	IN
work_3gmfusebffdg3m6qdqgyme5u7e	243	16	dur-	dur-	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	243	17	ing	e	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	243	18	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	243	19	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	243	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	243	21	normally	normally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	243	22	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	243	23	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	243	24	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	243	25	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	243	26	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	243	27	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	243	28	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	243	29	heu-	heu-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	243	30	ristics	ristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	243	31	improve	improve	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	243	32	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	243	33	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	243	34	objective	objective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	243	35	function	function	NN
work_3gmfusebffdg3m6qdqgyme5u7e	243	36	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	243	37	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	243	38	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	243	39	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	243	40	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	244	1	Thus	thus	RB
work_3gmfusebffdg3m6qdqgyme5u7e	244	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	244	3	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	244	4	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	244	5	instance	instance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	244	6	usually	usually	RB
work_3gmfusebffdg3m6qdqgyme5u7e	244	7	corresponds	correspond	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	244	8	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	244	9	just	just	RB
work_3gmfusebffdg3m6qdqgyme5u7e	244	10	one	one	CD
work_3gmfusebffdg3m6qdqgyme5u7e	244	11	or	or	CC
work_3gmfusebffdg3m6qdqgyme5u7e	244	12	two	two	CD
work_3gmfusebffdg3m6qdqgyme5u7e	244	13	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	244	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	245	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	245	2	additional	additional	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	245	3	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	245	4	discovered	discover	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	245	5	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	245	6	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	245	7	algorithm	algorithm	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	245	8	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	245	9	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	245	10	real	real	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	245	11	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	245	12	represent	represent	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	245	13	useful	useful	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	245	14	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	245	15	discarded	discard	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	245	16	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	245	17	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	245	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	245	19	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	245	20	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	245	21	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	245	22	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	245	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	246	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	246	2	fact	fact	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	3	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	246	4	-60.00	-60.00	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	246	5	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	6	-40.00	-40.00	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	246	7	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	8	-20.00	-20.00	.
work_3gmfusebffdg3m6qdqgyme5u7e	246	9	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	10	0.00	0.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	11	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	12	20.00	20.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	13	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	14	40.00	40.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	15	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	16	60.00	60.00	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	17	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	18	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	19	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	20	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	21	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	22	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	23	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	24	7	7	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	25	8	8	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	26	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	27	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	28	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	29	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	30	13	13	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	31	14	14	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	32	15	15	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	33	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	246	34	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	246	35	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	246	36	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	246	37	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	38	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	39	u	u	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	40	ra	ra	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	246	41	c	c	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	246	42	y	y	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	246	43	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	246	44	%	%	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	45	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	246	46	d	d	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	47	if	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	246	48	fe	fe	FW
work_3gmfusebffdg3m6qdqgyme5u7e	246	49	re	re	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	246	50	n	n	CC
work_3gmfusebffdg3m6qdqgyme5u7e	246	51	c	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	52	e	e	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	53	M	M	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	246	54	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	246	55	R	r	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	56	M	m	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	57	M	m	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	58	A	a	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	59	C	c	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	60	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	246	61	Fig	fig	NN
work_3gmfusebffdg3m6qdqgyme5u7e	246	62	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	247	1	4	4	LS
work_3gmfusebffdg3m6qdqgyme5u7e	247	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	248	1	Difference	difference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	248	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	248	3	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	248	4	between	between	IN
work_3gmfusebffdg3m6qdqgyme5u7e	248	5	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	248	6	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	248	7	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	248	8	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	248	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	248	10	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	248	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	248	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	249	1	0	0	NFP
work_3gmfusebffdg3m6qdqgyme5u7e	249	2	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	3	8	8	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	4	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	5	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	6	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	7	24	24	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	8	28	28	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	9	32	32	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	10	36	36	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	11	40	40	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	12	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	13	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	14	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	15	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	16	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	17	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	18	7	7	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	19	8	8	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	20	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	21	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	249	22	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	249	23	N	N	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	24	u	u	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	25	m	m	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	26	b	b	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	27	e	e	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	28	r	r	NN
work_3gmfusebffdg3m6qdqgyme5u7e	249	29	o	o	NN
work_3gmfusebffdg3m6qdqgyme5u7e	249	30	f	f	NN
work_3gmfusebffdg3m6qdqgyme5u7e	249	31	R	R	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	32	u	u	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	33	le	le	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	34	s	s	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	249	35	1-label	1-label	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	36	2-labels	2-labels	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	37	3-labels	3-labels	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	38	4-labels	4-labels	CD
work_3gmfusebffdg3m6qdqgyme5u7e	249	39	Fig	fig	NN
work_3gmfusebffdg3m6qdqgyme5u7e	249	40	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	250	1	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	250	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	251	1	Distribution	distribution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	251	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	251	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	251	4	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	251	5	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	251	6	regards	regard	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	251	7	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	251	8	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	251	9	labels	label	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	251	10	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	252	1	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	252	2	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	252	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	252	4	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	252	5	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	252	6	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	252	7	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	252	8	Systems	Systems	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	252	9	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	252	10	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	252	11	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	252	12	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	252	13	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	252	14	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	252	15	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	252	16	1099	1099	CD
work_3gmfusebffdg3m6qdqgyme5u7e	252	17	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	252	18	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	252	19	able	able	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	252	20	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	252	21	extract	extract	VB
work_3gmfusebffdg3m6qdqgyme5u7e	252	22	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	252	23	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	252	24	multiple	multiple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	252	25	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	252	26	enables	enable	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	252	27	domain	domain	NN
work_3gmfusebffdg3m6qdqgyme5u7e	252	28	experts	expert	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	252	29	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	252	30	benefit	benefit	VB
work_3gmfusebffdg3m6qdqgyme5u7e	252	31	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	252	32	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	252	33	additional	additional	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	252	34	useful	useful	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	252	35	infor-	infor-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	252	36	mation	mation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	252	37	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	253	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	253	2	addition	addition	NN
work_3gmfusebffdg3m6qdqgyme5u7e	253	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	253	4	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	253	5	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	253	6	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	253	7	label	label	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	253	8	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	253	9	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	253	10	contribute	contribute	VB
work_3gmfusebffdg3m6qdqgyme5u7e	253	11	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	253	12	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	253	13	prediction	prediction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	253	14	step	step	NN
work_3gmfusebffdg3m6qdqgyme5u7e	253	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	253	16	possibly	possibly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	253	17	improving	improve	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	253	18	upon	upon	IN
work_3gmfusebffdg3m6qdqgyme5u7e	253	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	253	20	classi-	classi-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	253	21	fication	fication	NN
work_3gmfusebffdg3m6qdqgyme5u7e	253	22	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	253	23	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	254	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	254	2	numbers	number	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	254	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	254	4	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	254	5	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	254	6	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	254	7	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	254	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	254	9	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	254	10	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	254	11	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	254	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	254	13	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	254	14	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	254	15	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	254	16	listed	list	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	254	17	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	254	18	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	254	19	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	254	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	255	1	Since	since	IN
work_3gmfusebffdg3m6qdqgyme5u7e	255	2	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	255	3	produces	produce	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	255	4	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	255	5	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	255	6	multiple	multiple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	255	7	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	255	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	255	9	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	255	10	did	do	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	255	11	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	255	12	record	record	VB
work_3gmfusebffdg3m6qdqgyme5u7e	255	13	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	255	14	numbers	number	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	255	15	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	255	16	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	255	17	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	255	18	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	255	19	fair	fair	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	255	20	comparison	comparison	NN
work_3gmfusebffdg3m6qdqgyme5u7e	255	21	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	256	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	256	2	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	256	3	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	256	4	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	256	5	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	256	6	show	show	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	256	7	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	256	8	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	256	9	always	always	RB
work_3gmfusebffdg3m6qdqgyme5u7e	256	10	generates	generate	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	256	11	more	more	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	256	12	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	256	13	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	256	14	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	256	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	256	16	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	256	17	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	256	18	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	256	19	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	257	1	This	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	257	2	contradicts	contradict	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	257	3	some	some	DT
work_3gmfusebffdg3m6qdqgyme5u7e	257	4	earlier	early	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	257	5	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	257	6	reported	report	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	257	7	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	257	8	Liu	Liu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	257	9	et	et	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	257	10	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	257	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	258	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	258	2	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	258	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	258	4	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	258	5	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	258	6	et	et	FW
work_3gmfusebffdg3m6qdqgyme5u7e	258	7	al	al	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	258	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	259	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	259	2	2005	2005	CD
work_3gmfusebffdg3m6qdqgyme5u7e	259	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	259	4	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	259	5	classifier	classifier	NN
work_3gmfusebffdg3m6qdqgyme5u7e	259	6	sizes	size	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	259	7	obtained	obtain	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	259	8	against	against	IN
work_3gmfusebffdg3m6qdqgyme5u7e	259	9	UCI	UCI	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	259	10	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	259	11	collec-	collec-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	259	12	tion	tion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	259	13	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	259	14	Merz	Merz	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	259	15	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	259	16	Murphy	Murphy	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	259	17	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	259	18	1996	1996	CD
work_3gmfusebffdg3m6qdqgyme5u7e	259	19	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	259	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	259	21	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	259	22	show	show	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	259	23	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	259	24	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	259	25	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	259	26	approaches	approach	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	259	27	like	like	IN
work_3gmfusebffdg3m6qdqgyme5u7e	259	28	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	259	29	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	259	30	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	259	31	normally	normally	RB
work_3gmfusebffdg3m6qdqgyme5u7e	259	32	generate	generate	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	259	33	more	more	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	259	34	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	259	35	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	259	36	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	259	37	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	259	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	260	1	For	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	260	2	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	260	3	reason	reason	NN
work_3gmfusebffdg3m6qdqgyme5u7e	260	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	260	5	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	260	6	performed	perform	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	260	7	extensive	extensive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	260	8	analysis	analysis	NN
work_3gmfusebffdg3m6qdqgyme5u7e	260	9	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	260	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	260	11	classifiers	classifier	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	260	12	derived	derive	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	260	13	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	260	14	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	260	15	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	260	16	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	260	17	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	260	18	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	260	19	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	260	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	261	1	After	after	IN
work_3gmfusebffdg3m6qdqgyme5u7e	261	2	analysing	analyse	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	261	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	261	4	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	261	5	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	261	6	constructed	construct	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	261	7	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	261	8	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	261	9	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	261	10	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	261	11	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	261	12	iteration	iteration	NN
work_3gmfusebffdg3m6qdqgyme5u7e	261	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	261	14	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	261	15	observed	observe	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	261	16	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	261	17	many	many	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	261	18	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	261	19	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	261	20	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	261	21	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	261	22	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	261	23	do	do	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	261	24	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	261	25	cover	cover	VB
work_3gmfusebffdg3m6qdqgyme5u7e	261	26	any	any	DT
work_3gmfusebffdg3m6qdqgyme5u7e	261	27	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	261	28	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	261	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	262	1	We	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	262	2	found	find	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	262	3	out	out	RP
work_3gmfusebffdg3m6qdqgyme5u7e	262	4	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	5	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	6	reason	reason	NN
work_3gmfusebffdg3m6qdqgyme5u7e	262	7	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	8	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	9	many	many	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	262	10	useless	useless	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	262	11	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	262	12	appear	appear	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	262	13	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	262	14	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	262	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	16	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	262	17	that	that	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	18	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	262	19	splits	split	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	262	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	21	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	262	22	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	262	23	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	24	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	262	25	if	if	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	26	that	that	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	27	attribute	attribute	NN
work_3gmfusebffdg3m6qdqgyme5u7e	262	28	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	262	29	many	many	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	262	30	distinct	distinct	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	262	31	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	262	32	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	262	33	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	262	34	few	few	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	262	35	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	36	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	37	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	262	38	appear	appear	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	262	39	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	40	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	41	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	262	42	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	262	43	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	262	44	then	then	RB
work_3gmfusebffdg3m6qdqgyme5u7e	262	45	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	46	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	262	47	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	48	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	49	branch	branch	NN
work_3gmfusebffdg3m6qdqgyme5u7e	262	50	will	will	MD
work_3gmfusebffdg3m6qdqgyme5u7e	262	51	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	262	52	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	262	53	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	262	54	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	262	55	hence	hence	RB
work_3gmfusebffdg3m6qdqgyme5u7e	262	56	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	262	57	some	some	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	58	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	262	59	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	262	60	branches	branch	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	262	61	cover	cover	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	262	62	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	262	63	instances	instance	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	262	64	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	263	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	263	2	rest	rest	NN
work_3gmfusebffdg3m6qdqgyme5u7e	263	3	will	will	MD
work_3gmfusebffdg3m6qdqgyme5u7e	263	4	represent	represent	VB
work_3gmfusebffdg3m6qdqgyme5u7e	263	5	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	263	6	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	263	7	cover	cover	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	263	8	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	263	9	even	even	RB
work_3gmfusebffdg3m6qdqgyme5u7e	263	10	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	263	11	single	single	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	263	12	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	263	13	instance	instance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	263	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	264	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	264	2	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	264	3	words	word	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	264	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	264	5	when	when	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	264	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	264	7	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	264	8	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	264	9	set	set	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	264	10	consists	consist	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	264	11	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	264	12	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	264	13	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	264	14	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	264	15	several	several	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	264	16	distinct	distinct	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	264	17	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	264	18	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	264	19	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	264	20	split	split	NN
work_3gmfusebffdg3m6qdqgyme5u7e	264	21	occurs	occur	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	264	22	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	264	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	264	24	expected	expected	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	264	25	number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	264	26	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	264	27	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	264	28	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	264	29	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	264	30	derived	derive	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	264	31	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	264	32	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	264	33	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	264	34	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	264	35	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	264	36	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	265	1	Since	since	IN
work_3gmfusebffdg3m6qdqgyme5u7e	265	2	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	265	3	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	265	4	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	265	5	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	265	6	derive	derive	VB
work_3gmfusebffdg3m6qdqgyme5u7e	265	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	265	8	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	265	9	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	265	10	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	265	11	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	265	12	contain	contain	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	265	13	four	four	CD
work_3gmfusebffdg3m6qdqgyme5u7e	265	14	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	265	15	where	where	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	265	16	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	265	17	one	one	NN
work_3gmfusebffdg3m6qdqgyme5u7e	265	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	265	19	them	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	265	20	has	have	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	265	21	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	265	22	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	265	23	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	265	24	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	265	25	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	265	26	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	265	27	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	265	28	heuris-	heuris-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	265	29	tics	tic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	265	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	265	31	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	265	32	some	some	DT
work_3gmfusebffdg3m6qdqgyme5u7e	265	33	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	265	34	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	265	35	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	265	36	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	265	37	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	265	38	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	265	39	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	265	40	never	never	RB
work_3gmfusebffdg3m6qdqgyme5u7e	265	41	result	result	VB
work_3gmfusebffdg3m6qdqgyme5u7e	265	42	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	265	43	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	265	44	improvement	improvement	NN
work_3gmfusebffdg3m6qdqgyme5u7e	265	45	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	265	46	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	265	47	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	265	48	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	265	49	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	265	50	explains	explain	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	265	51	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	265	52	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	265	53	numbers	number	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	265	54	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	265	55	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	265	56	derived	derive	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	265	57	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	265	58	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	265	59	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	266	1	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	266	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	267	1	Conclusions	conclusion	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	267	2	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	267	3	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	267	4	paper	paper	NN
work_3gmfusebffdg3m6qdqgyme5u7e	267	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	267	6	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	267	7	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	267	8	studied	study	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	267	9	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	267	10	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	267	11	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	267	12	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	267	13	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	267	14	complex	complex	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	267	15	personnel	personnel	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	267	16	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	267	17	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	267	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	267	19	called	call	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	267	20	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	267	21	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	267	22	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	267	23	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	267	24	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	268	1	These	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	268	2	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	3	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	268	4	represent	represent	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	268	5	solutions	solution	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	268	6	generated	generate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	268	7	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	268	8	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	268	9	general	general	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	10	hybrid	hybrid	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	11	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	12	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	268	13	called	call	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	268	14	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	268	15	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	16	hyperheuristic	hyperheuristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	17	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	268	18	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	268	19	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	268	20	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	268	21	robust	robust	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	22	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	268	23	general	general	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	24	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	268	25	purpose	purpose	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	26	opti-	opti-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	268	27	misation	misation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	28	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	29	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	268	30	requires	require	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	268	31	us	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	268	32	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	268	33	decide	decide	VB
work_3gmfusebffdg3m6qdqgyme5u7e	268	34	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	268	35	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	268	36	sev-	sev-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	37	eral	eral	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	38	simpler	simple	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	268	39	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	40	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	268	41	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	42	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	268	43	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	268	44	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	268	45	apply	apply	VB
work_3gmfusebffdg3m6qdqgyme5u7e	268	46	at	at	IN
work_3gmfusebffdg3m6qdqgyme5u7e	268	47	each	each	DT
work_3gmfusebffdg3m6qdqgyme5u7e	268	48	step	step	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	49	while	while	IN
work_3gmfusebffdg3m6qdqgyme5u7e	268	50	building	build	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	268	51	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	268	52	schedule	schedule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	268	53	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	269	1	Our	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	269	2	study	study	NN
work_3gmfusebffdg3m6qdqgyme5u7e	269	3	focused	focus	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	269	4	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	269	5	analysing	analyse	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	269	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	269	7	behaviour	behaviour	NN
work_3gmfusebffdg3m6qdqgyme5u7e	269	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	269	9	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	269	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	269	11	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	269	12	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	269	13	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	269	14	were	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	269	15	selected	select	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	269	16	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	269	17	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	269	18	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	269	19	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	269	20	improved	improve	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	269	21	upon	upon	IN
work_3gmfusebffdg3m6qdqgyme5u7e	269	22	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	269	23	qual-	qual-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	269	24	ity	ity	NN
work_3gmfusebffdg3m6qdqgyme5u7e	269	25	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	269	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	269	27	current	current	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	269	28	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	269	29	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	269	30	order	order	NN
work_3gmfusebffdg3m6qdqgyme5u7e	269	31	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	269	32	extract	extract	VB
work_3gmfusebffdg3m6qdqgyme5u7e	269	33	useful	useful	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	269	34	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	269	35	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	270	1	These	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	270	2	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	270	3	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	270	4	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	270	5	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	270	6	later	later	RB
work_3gmfusebffdg3m6qdqgyme5u7e	270	7	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	270	8	quickly	quickly	RB
work_3gmfusebffdg3m6qdqgyme5u7e	270	9	predict	predict	VB
work_3gmfusebffdg3m6qdqgyme5u7e	270	10	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	270	11	appro-	appro-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	270	12	priate	priate	NN
work_3gmfusebffdg3m6qdqgyme5u7e	270	13	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	270	14	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	270	15	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	270	16	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	270	17	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	270	18	call	call	VB
work_3gmfusebffdg3m6qdqgyme5u7e	270	19	next	next	RB
work_3gmfusebffdg3m6qdqgyme5u7e	270	20	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	271	1	For	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	271	2	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	271	3	purpose	purpose	NN
work_3gmfusebffdg3m6qdqgyme5u7e	271	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	271	5	we	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	271	6	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	271	7	compared	compare	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	271	8	five	five	CD
work_3gmfusebffdg3m6qdqgyme5u7e	271	9	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	271	10	mining	mine	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	271	11	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	271	12	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	271	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	271	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	271	15	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	271	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	271	17	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	271	18	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	271	19	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	271	20	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	271	21	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	271	22	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	271	23	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	271	24	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	271	25	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	271	26	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	271	27	different	different	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	271	28	solu-	solu-	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	271	29	tions	tion	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	271	30	produced	produce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	271	31	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	271	32	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	271	33	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	271	34	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	272	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	272	2	experimental	experimental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	272	3	tests	test	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	272	4	showed	show	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	272	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	272	6	better	well	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	272	7	performance	performance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	8	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	272	9	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	272	10	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	11	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	272	12	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	272	13	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	272	14	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	272	15	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	272	16	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	272	17	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	272	18	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	272	19	over	over	IN
work_3gmfusebffdg3m6qdqgyme5u7e	272	20	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	21	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	272	22	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	272	23	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	272	24	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	272	25	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	272	26	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	27	induction	induction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	28	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	272	29	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	272	30	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	272	31	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	272	32	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	272	33	algorithm	algorithm	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	272	34	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	272	35	reference	reference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	36	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	272	37	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	272	38	accuracy	accuracy	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	39	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	272	40	pre-	pre-	RB
work_3gmfusebffdg3m6qdqgyme5u7e	272	41	dicting	dicte	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	272	42	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	272	43	appropriate	appropriate	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	272	44	set	set	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	45	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	272	46	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	272	47	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	272	48	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	272	49	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	272	50	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	273	1	Since	since	IN
work_3gmfusebffdg3m6qdqgyme5u7e	273	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	273	3	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	273	4	algorithm	algorithm	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	273	5	was	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	273	6	able	able	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	273	7	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	273	8	produce	produce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	273	9	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	273	10	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	273	11	multiple	multiple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	273	12	classes	class	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	273	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	273	14	including	include	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	273	15	very	very	RB
work_3gmfusebffdg3m6qdqgyme5u7e	273	16	useful	useful	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	273	17	information	information	NN
work_3gmfusebffdg3m6qdqgyme5u7e	273	18	that	that	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	273	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	273	20	hype-	hype-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	273	21	rheuristic	rheuristic	NN
work_3gmfusebffdg3m6qdqgyme5u7e	273	22	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	273	23	use	use	VB
work_3gmfusebffdg3m6qdqgyme5u7e	273	24	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	273	25	forecasting	forecast	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	273	26	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	273	27	behaviour	behaviour	NN
work_3gmfusebffdg3m6qdqgyme5u7e	273	28	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	273	29	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	273	30	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	273	31	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	273	32	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	273	33	while	while	IN
work_3gmfusebffdg3m6qdqgyme5u7e	273	34	constructing	construct	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	273	35	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	273	36	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	273	37	solution	solution	NN
work_3gmfusebffdg3m6qdqgyme5u7e	273	38	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	274	1	It	-PRON-	PRP
work_3gmfusebffdg3m6qdqgyme5u7e	274	2	is	be	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	274	3	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	274	4	most	most	RBS
work_3gmfusebffdg3m6qdqgyme5u7e	274	5	applicable	applicable	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	274	6	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	274	7	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	274	8	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	274	9	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	274	10	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	274	11	can	can	MD
work_3gmfusebffdg3m6qdqgyme5u7e	274	12	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	274	13	used	use	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	274	14	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	274	15	pre-	pre-	VB
work_3gmfusebffdg3m6qdqgyme5u7e	274	16	dict	dict	VB
work_3gmfusebffdg3m6qdqgyme5u7e	274	17	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	274	18	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	274	19	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	274	20	heuristic	heuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	274	21	performance	performance	NN
work_3gmfusebffdg3m6qdqgyme5u7e	274	22	within	within	IN
work_3gmfusebffdg3m6qdqgyme5u7e	274	23	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	274	24	Peckish	peckish	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	274	25	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	274	26	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	275	1	Furthermore	furthermore	RB
work_3gmfusebffdg3m6qdqgyme5u7e	275	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	275	3	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	275	4	generated	generate	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	275	5	more	more	JJR
work_3gmfusebffdg3m6qdqgyme5u7e	275	6	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	275	7	than	than	IN
work_3gmfusebffdg3m6qdqgyme5u7e	275	8	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	275	9	other	other	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	275	10	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	275	11	learning	learn	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	275	12	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	275	13	since	since	IN
work_3gmfusebffdg3m6qdqgyme5u7e	275	14	useless	useless	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	275	15	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	275	16	were	be	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	275	17	extracted	extract	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	275	18	by	by	IN
work_3gmfusebffdg3m6qdqgyme5u7e	275	19	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	275	20	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	275	21	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	275	22	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	275	23	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	275	24	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	275	25	not	not	RB
work_3gmfusebffdg3m6qdqgyme5u7e	275	26	even	even	RB
work_3gmfusebffdg3m6qdqgyme5u7e	275	27	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	275	28	single	single	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	275	29	repre-	repre-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	275	30	sentation	sentation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	275	31	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	275	32	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	275	33	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	275	34	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	275	35	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	276	1	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	2	reason	reason	NN
work_3gmfusebffdg3m6qdqgyme5u7e	276	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	276	4	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	5	useless	useless	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	276	6	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	7	turn	turn	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	276	8	out	out	RP
work_3gmfusebffdg3m6qdqgyme5u7e	276	9	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	276	10	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	276	11	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	12	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	276	13	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	14	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	15	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	276	16	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	276	17	which	which	WDT
work_3gmfusebffdg3m6qdqgyme5u7e	276	18	when	when	WRB
work_3gmfusebffdg3m6qdqgyme5u7e	276	19	some	some	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	20	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	276	21	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	22	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	23	are	be	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	276	24	associated	associate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	276	25	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	276	26	many	many	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	276	27	distinct	distinct	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	276	28	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	29	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	276	30	only	only	RB
work_3gmfusebffdg3m6qdqgyme5u7e	276	31	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	32	subset	subset	NN
work_3gmfusebffdg3m6qdqgyme5u7e	276	33	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	276	34	these	these	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	35	values	value	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	36	have	have	VBP
work_3gmfusebffdg3m6qdqgyme5u7e	276	37	suf-	suf-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	276	38	ficient	ficient	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	276	39	representation	representation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	276	40	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	276	41	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	42	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	276	43	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	44	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	276	45	there	there	EX
work_3gmfusebffdg3m6qdqgyme5u7e	276	46	will	will	MD
work_3gmfusebffdg3m6qdqgyme5u7e	276	47	be	be	VB
work_3gmfusebffdg3m6qdqgyme5u7e	276	48	valid	valid	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	276	49	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	50	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	276	51	this	this	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	52	subset	subset	NN
work_3gmfusebffdg3m6qdqgyme5u7e	276	53	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	276	54	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	276	55	rest	rest	NN
work_3gmfusebffdg3m6qdqgyme5u7e	276	56	will	will	MD
work_3gmfusebffdg3m6qdqgyme5u7e	276	57	represent	represent	VB
work_3gmfusebffdg3m6qdqgyme5u7e	276	58	useless	useless	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	276	59	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	276	60	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	277	1	References	References	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	277	2	Agrawal	Agrawal	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	277	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	277	4	R.	R.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	277	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	277	6	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	277	7	Srikant	Srikant	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	277	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	277	9	R.	R.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	277	10	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	277	11	1994	1994	CD
work_3gmfusebffdg3m6qdqgyme5u7e	277	12	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	277	13	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	278	1	Fast	fast	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	278	2	algorithms	algorithm	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	278	3	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	278	4	mining	mining	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	278	5	association	association	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	278	6	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	278	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	279	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	279	2	Proceedings	proceeding	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	279	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	279	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	279	5	20th	20th	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	279	6	international	international	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	279	7	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	279	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	279	9	very	very	RB
work_3gmfusebffdg3m6qdqgyme5u7e	279	10	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	279	11	data	data	NN
work_3gmfusebffdg3m6qdqgyme5u7e	279	12	bases	basis	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	279	13	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	279	14	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	279	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	280	1	487–499	487–499	CD
work_3gmfusebffdg3m6qdqgyme5u7e	280	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	280	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	281	1	Aicklen	Aicklen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	281	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	281	3	U.	U.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	281	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	281	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	281	6	Dowsland	Dowsland	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	281	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	281	8	K.	K.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	281	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	281	10	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	281	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	281	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	282	1	Exploiting	exploit	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	282	2	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	282	3	structure	structure	NN
work_3gmfusebffdg3m6qdqgyme5u7e	282	4	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	282	5	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	282	6	genetic	genetic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	282	7	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	282	8	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	282	9	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	282	10	nurse	nurse	NN
work_3gmfusebffdg3m6qdqgyme5u7e	282	11	rostering	rostering	NN
work_3gmfusebffdg3m6qdqgyme5u7e	282	12	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	282	13	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	283	1	Journal	Journal	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	283	2	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	283	3	Scheduling	Scheduling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	283	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	283	5	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	283	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	283	7	139–153	139–153	CD
work_3gmfusebffdg3m6qdqgyme5u7e	283	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	284	1	Ali	Ali	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	284	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	284	3	K.	K.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	284	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	284	5	Manganaris	Manganaris	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	284	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	284	7	S.	S.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	284	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	284	9	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	284	10	Srikant	Srikant	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	284	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	284	12	R.	R.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	284	13	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	284	14	1997	1997	CD
work_3gmfusebffdg3m6qdqgyme5u7e	284	15	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	284	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	285	1	Partial	partial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	285	2	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	285	3	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	285	4	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	285	5	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	285	6	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	286	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	286	2	D.	D.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	3	Heckerman	Heckerman	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	286	5	H.	H.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	6	Mannila	Mannila	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	286	8	D.	D.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	9	Pregibon	Pregibon	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	10	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	286	11	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	286	12	R.	R.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	13	Uthurusamy	Uthurusamy	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	286	15	Eds	Eds	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	286	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	287	1	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	287	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	287	3	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	287	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	287	5	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	287	6	third	third	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	287	7	international	international	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	287	8	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	287	9	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	287	10	knowledge	knowledge	NN
work_3gmfusebffdg3m6qdqgyme5u7e	287	11	discovery	discovery	NN
work_3gmfusebffdg3m6qdqgyme5u7e	287	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	287	13	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	287	14	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	287	15	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	287	16	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	287	17	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	288	1	115–118	115–118	CD
work_3gmfusebffdg3m6qdqgyme5u7e	288	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	288	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	289	1	Blum	Blum	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	289	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	289	3	C.	C.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	289	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	289	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	289	6	Roli	Roli	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	289	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	289	8	A.	a.	NN
work_3gmfusebffdg3m6qdqgyme5u7e	290	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	290	2	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	290	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	290	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	291	1	Metaheuristics	metaheuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	291	2	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	291	3	combinatorial	combinatorial	NN
work_3gmfusebffdg3m6qdqgyme5u7e	291	4	optimisa-	optimisa-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	291	5	tion	tion	NN
work_3gmfusebffdg3m6qdqgyme5u7e	291	6	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	291	7	overview	overview	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	291	8	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	291	9	conceptual	conceptual	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	291	10	comparison	comparison	NN
work_3gmfusebffdg3m6qdqgyme5u7e	291	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	292	1	ACM	ACM	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	292	2	Computing	Computing	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	292	3	Surveys	Surveys	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	292	4	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	292	5	CSUR	CSUR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	292	6	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	292	7	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	292	8	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	292	9	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	293	1	268–308	268–308	CD
work_3gmfusebffdg3m6qdqgyme5u7e	293	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	293	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	294	1	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	294	2	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	294	3	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	294	4	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	294	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	295	1	<	<	XX
work_3gmfusebffdg3m6qdqgyme5u7e	295	2	http://www.comp.nus.edu.sg/~dm2/p_download.html	http://www.comp.nus.edu.sg/~dm2/p_download.html	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	295	3	>	>	XX
work_3gmfusebffdg3m6qdqgyme5u7e	295	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	296	1	Cendrowska	Cendrowska	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	296	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	296	3	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	297	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	297	2	1987	1987	CD
work_3gmfusebffdg3m6qdqgyme5u7e	297	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	297	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	298	1	PRISM	PRISM	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	298	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	298	3	an	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	298	4	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	298	5	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	298	6	inducing	induce	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	298	7	modular	modular	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	298	8	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	298	9	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	299	1	International	International	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	299	2	Journal	Journal	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	299	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	299	4	Man	Man	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	299	5	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	299	6	Machine	Machine	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	299	7	Studies	Studies	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	299	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	299	9	27(4	27(4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	299	10	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	299	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	299	12	349–370	349–370	CD
work_3gmfusebffdg3m6qdqgyme5u7e	299	13	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	300	1	Table	table	NN
work_3gmfusebffdg3m6qdqgyme5u7e	300	2	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	3	Number	number	NN
work_3gmfusebffdg3m6qdqgyme5u7e	300	4	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	300	5	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	300	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	300	7	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	300	9	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	10	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	300	11	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	300	13	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	14	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	300	15	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	300	16	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	300	17	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	300	18	sets	set	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	300	19	Data	Data	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	300	20	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	21	PART	PART	MD
work_3gmfusebffdg3m6qdqgyme5u7e	300	22	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	23	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	24	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	25	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	26	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	27	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	28	14	14	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	29	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	30	55	55	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	31	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	32	18	18	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	33	32	32	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	34	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	35	46	46	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	36	19	19	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	37	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	38	28	28	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	39	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	40	82	82	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	41	17	17	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	42	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	43	33	33	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	44	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	45	46	46	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	46	17	17	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	47	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	48	31	31	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	49	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	50	19	19	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	51	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	52	23	23	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	53	31	31	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	54	7	7	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	55	91	91	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	56	69	69	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	57	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	58	20	20	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	59	8	8	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	60	100	100	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	61	51	51	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	62	3	3	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	63	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	64	9	9	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	65	163	163	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	66	71	71	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	67	2	2	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	68	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	69	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	70	163	163	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	71	145	145	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	72	1	1	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	73	21	21	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	74	11	11	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	75	46	46	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	76	21	21	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	77	10	10	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	78	22	22	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	79	12	12	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	80	64	64	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	81	19	19	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	82	22	22	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	83	37	37	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	84	13	13	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	85	46	46	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	86	19	19	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	87	6	6	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	88	33	33	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	89	14	14	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	90	64	64	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	91	24	24	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	92	23	23	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	93	42	42	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	94	15	15	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	95	55	55	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	96	23	23	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	97	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	98	31	31	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	99	16	16	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	100	64	64	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	101	56	56	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	102	5	5	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	103	18	18	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	104	1100	1100	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	105	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	106	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	107	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	300	108	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	109	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	110	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	300	111	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	112	Systems	Systems	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	300	113	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	300	114	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	300	115	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	116	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	300	117	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	118	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	300	119	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	120	Cohen	Cohen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	121	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	300	122	W.	W.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	300	123	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	300	124	1995	1995	CD
work_3gmfusebffdg3m6qdqgyme5u7e	300	125	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	300	126	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	301	1	Fast	fast	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	301	2	effective	effective	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	301	3	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	301	4	induction	induction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	301	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	302	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	302	2	Proceedings	proceeding	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	302	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	302	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	302	5	12th	12th	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	302	6	international	international	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	302	7	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	302	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	302	9	machine	machine	NN
work_3gmfusebffdg3m6qdqgyme5u7e	302	10	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	302	11	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	302	12	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	302	13	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	303	1	115–123	115–123	CD
work_3gmfusebffdg3m6qdqgyme5u7e	303	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	303	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	304	1	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	304	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	304	3	Morgan	Morgan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	304	4	Kaufmann	Kaufmann	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	304	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	305	1	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	305	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	305	3	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	305	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	305	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	305	6	Chakhlevitch	Chakhlevitch	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	305	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	305	8	K.	K.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	305	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	305	10	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	305	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	305	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	306	1	Hyperheuristics	hyperheuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	306	2	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	306	3	managing	manage	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	306	4	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	306	5	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	306	6	collection	collection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	306	7	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	306	8	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	306	9	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	306	10	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	306	11	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	306	12	schedule	schedule	VB
work_3gmfusebffdg3m6qdqgyme5u7e	306	13	personnel	personnel	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	306	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	307	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	307	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	307	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	307	4	IEEE	IEEE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	307	5	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	307	6	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	307	7	evolutionary	evolutionary	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	307	8	computation	computation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	307	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	307	10	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	307	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	308	1	1214	1214	CD
work_3gmfusebffdg3m6qdqgyme5u7e	308	2	–	–	:
work_3gmfusebffdg3m6qdqgyme5u7e	308	3	1221	1221	CD
work_3gmfusebffdg3m6qdqgyme5u7e	308	4	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	308	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	309	1	Canberra	Canberra	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	309	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	309	3	Australia	Australia	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	309	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	310	1	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	310	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	310	3	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	310	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	310	5	Kendall	Kendall	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	310	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	310	7	G.	G.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	310	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	310	9	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	310	10	Han	Han	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	310	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	310	12	L.	L.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	310	13	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	310	14	2002	2002	CD
work_3gmfusebffdg3m6qdqgyme5u7e	310	15	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	310	16	An	an	DT
work_3gmfusebffdg3m6qdqgyme5u7e	310	17	investigation	investigation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	310	18	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	310	19	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	310	20	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	310	21	genetic	genetic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	310	22	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	310	23	applied	apply	VBD
work_3gmfusebffdg3m6qdqgyme5u7e	310	24	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	310	25	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	310	26	trainer	trainer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	310	27	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	310	28	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	310	29	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	311	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	311	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	311	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	311	4	congress	congress	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	311	5	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	311	6	evolutionary	evolutionary	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	311	7	computation	computation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	311	8	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	311	9	CEC	CEC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	311	10	2002	2002	CD
work_3gmfusebffdg3m6qdqgyme5u7e	311	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	311	12	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	311	13	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	311	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	312	1	1185–1190	1185–1190	LS
work_3gmfusebffdg3m6qdqgyme5u7e	312	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	312	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	313	1	Hilton	Hilton	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	313	2	Hawaiian	Hawaiian	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	313	3	Village	Village	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	313	4	Hotel	Hotel	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	313	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	313	6	Hono-	hono-	NN
work_3gmfusebffdg3m6qdqgyme5u7e	313	7	lulu	lulu	NN
work_3gmfusebffdg3m6qdqgyme5u7e	313	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	313	9	Hawaii	Hawaii	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	313	10	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	313	11	May	May	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	313	12	12–17	12–17	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	313	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	313	14	ISBN	ISBN	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	313	15	0	0	CD
work_3gmfusebffdg3m6qdqgyme5u7e	313	16	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	313	17	7803	7803	CD
work_3gmfusebffdg3m6qdqgyme5u7e	313	18	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	313	19	7282	7282	CD
work_3gmfusebffdg3m6qdqgyme5u7e	313	20	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	313	21	4	4	CD
work_3gmfusebffdg3m6qdqgyme5u7e	313	22	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	314	1	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	314	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	314	3	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	314	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	314	5	Kendall	Kendall	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	314	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	314	7	G.	G.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	314	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	314	9	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	314	10	Soubeiga	Soubeiga	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	314	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	314	12	E.	E.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	314	13	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	314	14	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	314	15	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	314	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	315	1	A	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	315	2	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	315	3	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	315	4	to	to	IN
work_3gmfusebffdg3m6qdqgyme5u7e	315	5	scheduling	schedule	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	315	6	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	315	7	sales	sale	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	315	8	summit	summit	NN
work_3gmfusebffdg3m6qdqgyme5u7e	315	9	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	316	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	316	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	316	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	316	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	316	5	third	third	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	316	6	international	international	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	316	7	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	316	8	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	316	9	practice	practice	NN
work_3gmfusebffdg3m6qdqgyme5u7e	316	10	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	316	11	theory	theory	NN
work_3gmfusebffdg3m6qdqgyme5u7e	316	12	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	316	13	automated	automate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	316	14	timetabling	timetabling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	316	15	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	316	16	PATAT	PATAT	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	316	17	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	316	18	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	316	19	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	317	1	LNCS	LNCS	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	317	2	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	317	3	vol	vol	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	317	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	318	1	2079	2079	CD
work_3gmfusebffdg3m6qdqgyme5u7e	318	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	318	3	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	318	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	319	1	176–190	176–190	CD
work_3gmfusebffdg3m6qdqgyme5u7e	319	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	319	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	320	1	Springer	Springer	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	320	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	321	1	Fayyad	Fayyad	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	321	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	321	3	U.	U.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	321	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	321	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	321	6	Irani	Irani	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	321	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	321	8	K.	K.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	321	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	321	10	1993	1993	CD
work_3gmfusebffdg3m6qdqgyme5u7e	321	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	321	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	322	1	Multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	322	2	—	—	:
work_3gmfusebffdg3m6qdqgyme5u7e	322	3	interval	interval	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	322	4	discretisation	discretisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	322	5	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	322	6	contin-	contin-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	322	7	ues	ues	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	322	8	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	322	9	valued	value	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	322	10	attributes	attribute	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	322	11	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	322	12	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	322	13	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	322	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	323	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	323	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	323	3	ofI	ofI	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	323	4	JCAI	JCAI	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	323	5	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	323	6	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	323	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	324	1	1022–1027	1022–1027	CD
work_3gmfusebffdg3m6qdqgyme5u7e	324	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	324	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	325	1	Frank	Frank	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	325	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	325	3	E.	E.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	325	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	325	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	325	6	Witten	Witten	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	325	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	325	8	I.	I.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	326	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	326	2	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	326	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	326	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	327	1	Generating	generate	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	327	2	accurate	accurate	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	327	3	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	327	4	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	327	5	without	without	IN
work_3gmfusebffdg3m6qdqgyme5u7e	327	6	global	global	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	327	7	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	327	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	328	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	328	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	328	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	328	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	328	5	fifteenth	fifteenth	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	328	6	international	international	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	328	7	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	328	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	328	9	machine	machine	NN
work_3gmfusebffdg3m6qdqgyme5u7e	328	10	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	328	11	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	328	12	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	328	13	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	329	1	144–151	144–151	CD
work_3gmfusebffdg3m6qdqgyme5u7e	329	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	329	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	330	1	Madison	Madison	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	330	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	330	3	Wisconsin	Wisconsin	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	330	4	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	330	5	Morgan	Morgan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	330	6	Kaufmann	Kaufmann	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	330	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	331	1	Furnkranz	Furnkranz	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	331	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	331	3	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	331	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	331	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	331	6	Widmer	Widmer	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	331	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	331	8	G.	G.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	331	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	331	10	1994	1994	CD
work_3gmfusebffdg3m6qdqgyme5u7e	331	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	331	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	332	1	Incremental	incremental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	332	2	reduced	reduce	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	332	3	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	332	4	pruning	pruning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	332	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	333	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	333	2	Machine	machine	NN
work_3gmfusebffdg3m6qdqgyme5u7e	333	3	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	333	4	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	333	5	Proceedings	proceeding	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	333	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	333	7	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	333	8	11th	11th	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	333	9	annual	annual	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	333	10	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	333	11	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	334	1	New	New	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	334	2	Brunswick	Brunswick	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	334	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	334	4	New	New	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	334	5	Jersey	Jersey	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	334	6	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	334	7	Morgan	Morgan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	334	8	Kaufmann	Kaufmann	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	334	9	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	335	1	Hamiez	Hamiez	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	335	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	335	3	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	335	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	335	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	335	6	Hao	Hao	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	335	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	335	8	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	336	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	336	2	2001	2001	CD
work_3gmfusebffdg3m6qdqgyme5u7e	336	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	336	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	337	1	Solving	solve	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	337	2	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	337	3	sports	sport	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	337	4	league	league	NN
work_3gmfusebffdg3m6qdqgyme5u7e	337	5	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	337	6	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	337	7	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	337	8	Tabu	Tabu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	337	9	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	337	10	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	338	1	Lecture	lecture	NN
work_3gmfusebffdg3m6qdqgyme5u7e	338	2	notes	note	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	338	3	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	338	4	artificial	artificial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	338	5	intelligence	intelligence	NN
work_3gmfusebffdg3m6qdqgyme5u7e	338	6	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	338	7	vol	vol	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	338	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	339	1	2148	2148	CD
work_3gmfusebffdg3m6qdqgyme5u7e	339	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	339	3	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	339	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	340	1	24–36	24–36	LS
work_3gmfusebffdg3m6qdqgyme5u7e	340	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	340	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	341	1	Springer	Springer	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	341	2	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	342	1	Hansen	Hansen	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	342	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	342	3	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	342	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	342	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	342	6	Mladenovic	Mladenovic	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	342	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	342	8	N.	N.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	342	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	342	10	1997	1997	CD
work_3gmfusebffdg3m6qdqgyme5u7e	342	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	342	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	343	1	Variable	variable	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	343	2	neighbourhood	neighbourhood	NN
work_3gmfusebffdg3m6qdqgyme5u7e	343	3	search	search	NN
work_3gmfusebffdg3m6qdqgyme5u7e	343	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	344	1	Computer	Computer	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	344	2	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	344	3	Operations	Operations	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	344	4	Research	Research	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	344	5	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	344	6	1097–1100	1097–1100	CD
work_3gmfusebffdg3m6qdqgyme5u7e	344	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	345	1	Li	Li	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	345	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	345	3	W.	W.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	345	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	345	5	Han	Han	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	345	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	345	7	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	345	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	345	9	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	345	10	Pei	Pei	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	345	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	345	12	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	346	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	346	2	2001	2001	CD
work_3gmfusebffdg3m6qdqgyme5u7e	346	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	346	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	347	1	CMAR	cmar	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	347	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	347	3	accurate	accurate	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	347	4	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	347	5	efficient	efficient	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	347	6	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	347	7	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	347	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	347	9	multiple	multiple	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	347	10	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	347	11	class	class	NN
work_3gmfusebffdg3m6qdqgyme5u7e	347	12	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	347	13	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	347	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	348	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	348	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	348	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	348	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	348	5	ICDM’01	ICDM’01	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	348	6	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	348	7	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	348	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	349	1	369–376	369–376	CD
work_3gmfusebffdg3m6qdqgyme5u7e	349	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	349	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	350	1	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	350	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	350	3	San	San	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	350	4	Jose	Jose	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	350	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	351	1	Liu	Liu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	351	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	351	3	B.	B.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	351	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	351	5	Hsu	Hsu	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	351	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	351	7	W.	W.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	351	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	351	9	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	351	10	Ma	Ma	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	351	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	351	12	Y.	Y.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	352	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	352	2	1998	1998	CD
work_3gmfusebffdg3m6qdqgyme5u7e	352	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	352	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	353	1	Integrating	integrate	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	353	2	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	353	3	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	353	4	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	353	5	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	353	6	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	353	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	354	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	354	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	354	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	354	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	354	5	KDD	KDD	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	354	6	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	354	7	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	354	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	355	1	80–86	80–86	LS
work_3gmfusebffdg3m6qdqgyme5u7e	355	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	355	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	356	1	New	New	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	356	2	York	York	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	356	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	356	4	NY	NY	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	356	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	357	1	McAloon	McAloon	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	357	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	357	3	K.	K.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	357	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	357	5	TretKoff	TretKoff	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	357	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	357	7	C.	C.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	357	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	357	9	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	357	10	Wetzel	Wetzel	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	357	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	357	12	G.	G.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	357	13	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	357	14	1997	1997	CD
work_3gmfusebffdg3m6qdqgyme5u7e	357	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	358	1	Sports	Sports	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	358	2	league	league	NN
work_3gmfusebffdg3m6qdqgyme5u7e	358	3	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	358	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	359	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	359	2	Proceedings	proceeding	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	359	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	359	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	359	5	third	third	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	359	6	ILOG	ILOG	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	359	7	optimisation	optimisation	NN
work_3gmfusebffdg3m6qdqgyme5u7e	359	8	suite	suite	NN
work_3gmfusebffdg3m6qdqgyme5u7e	359	9	international	international	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	359	10	users	user	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	359	11	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	359	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	360	1	Paris	Paris	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	360	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	360	3	France	France	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	360	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	360	5	1997	1997	CD
work_3gmfusebffdg3m6qdqgyme5u7e	360	6	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	361	1	Merz	Merz	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	361	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	361	3	C.	C.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	361	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	361	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	361	6	Murphy	Murphy	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	361	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	361	8	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	361	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	361	10	1996	1996	CD
work_3gmfusebffdg3m6qdqgyme5u7e	361	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	361	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	362	1	UCI	UCI	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	362	2	repository	repository	NN
work_3gmfusebffdg3m6qdqgyme5u7e	362	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	362	4	machine	machine	NN
work_3gmfusebffdg3m6qdqgyme5u7e	362	5	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	362	6	databases	database	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	362	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	363	1	Irvine	Irvine	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	363	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	363	3	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	363	4	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	363	5	University	University	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	363	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	363	7	California	California	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	363	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	363	9	Department	Department	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	363	10	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	363	11	Information	Information	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	363	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	363	13	Computer	Computer	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	363	14	Science	Science	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	363	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	364	1	Quinlan	Quinlan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	364	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	364	3	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	365	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	365	2	1979	1979	CD
work_3gmfusebffdg3m6qdqgyme5u7e	365	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	365	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	366	1	Discovering	discover	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	366	2	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	366	3	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	366	4	large	large	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	366	5	collections	collection	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	366	6	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	366	7	examples	example	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	366	8	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	366	9	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	366	10	case	case	NN
work_3gmfusebffdg3m6qdqgyme5u7e	366	11	study	study	NN
work_3gmfusebffdg3m6qdqgyme5u7e	366	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	367	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	367	2	D.	D.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	367	3	Michie	Michie	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	367	4	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	367	5	Ed	Ed	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	367	6	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	368	1	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	368	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	368	3	Expert	expert	NN
work_3gmfusebffdg3m6qdqgyme5u7e	368	4	systems	system	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	368	5	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	368	6	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	368	7	micro	micro	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	368	8	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	368	9	electronic	electronic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	368	10	age	age	NN
work_3gmfusebffdg3m6qdqgyme5u7e	368	11	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	368	12	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	368	13	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	369	1	168–201	168–201	CD
work_3gmfusebffdg3m6qdqgyme5u7e	369	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	369	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	370	1	Edinburgh	Edinburgh	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	370	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	370	3	Edinburgh	Edinburgh	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	370	4	University	University	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	370	5	Press	Press	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	370	6	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	371	1	Quinlan	Quinlan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	371	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	371	3	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	372	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	372	2	1987	1987	CD
work_3gmfusebffdg3m6qdqgyme5u7e	372	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	372	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	373	1	Generating	generate	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	373	2	production	production	NN
work_3gmfusebffdg3m6qdqgyme5u7e	373	3	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	373	4	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	373	5	decision	decision	NN
work_3gmfusebffdg3m6qdqgyme5u7e	373	6	trees	tree	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	373	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	374	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	374	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	374	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	374	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	374	5	10th	10th	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	374	6	international	international	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	374	7	joint	joint	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	374	8	conferences	conference	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	374	9	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	374	10	artificial	artificial	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	374	11	intelligence	intelligence	NN
work_3gmfusebffdg3m6qdqgyme5u7e	374	12	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	374	13	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	374	14	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	375	1	304–307	304–307	CD
work_3gmfusebffdg3m6qdqgyme5u7e	375	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	375	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	376	1	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	376	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	376	3	Morgan	Morgan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	376	4	Kaufmann	Kaufmann	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	376	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	377	1	Quinlan	Quinlan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	377	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	377	3	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	378	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	378	2	1993	1993	CD
work_3gmfusebffdg3m6qdqgyme5u7e	378	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	378	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	379	1	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	379	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	379	3	Programs	program	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	379	4	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	379	5	machine	machine	NN
work_3gmfusebffdg3m6qdqgyme5u7e	379	6	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	379	7	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	380	1	San	San	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	380	2	Mateo	Mateo	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	380	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	380	4	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	380	5	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	380	6	Morgan	Morgan	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	380	7	Kaufman	Kaufman	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	380	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	381	1	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	381	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	381	3	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	381	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	381	5	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	381	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	381	7	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	381	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	381	9	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	381	10	Peng	Peng	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	381	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	381	12	Y.	Y.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	382	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	382	2	2004	2004	CD
work_3gmfusebffdg3m6qdqgyme5u7e	382	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	382	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	383	1	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	383	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	383	3	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	383	4	new	new	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	383	5	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	383	6	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	383	7	class	class	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	383	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	383	9	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	383	10	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	383	11	label	label	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	383	12	associative	associative	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	383	13	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	383	14	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	383	15	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	384	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	384	2	Proceedings	proceeding	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	384	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	384	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	384	5	fourth	fourth	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	384	6	IEEE	IEEE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	384	7	international	international	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	384	8	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	384	9	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	384	10	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	384	11	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	384	12	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	384	13	ICDM	ICDM	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	384	14	’	'	''
work_3gmfusebffdg3m6qdqgyme5u7e	384	15	04	04	CD
work_3gmfusebffdg3m6qdqgyme5u7e	384	16	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	384	17	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	384	18	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	384	19	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	385	1	217–224	217–224	LS
work_3gmfusebffdg3m6qdqgyme5u7e	385	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	385	3	Brighton	Brighton	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	385	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	385	5	UK	UK	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	385	6	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	386	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	386	2	Nominated	nominate	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	386	3	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	386	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	386	5	Best	good	JJS
work_3gmfusebffdg3m6qdqgyme5u7e	386	6	paper	paper	NN
work_3gmfusebffdg3m6qdqgyme5u7e	386	7	award	award	NN
work_3gmfusebffdg3m6qdqgyme5u7e	386	8	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	386	9	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	387	1	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	387	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	387	3	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	387	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	387	5	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	387	6	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	387	7	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	387	8	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	387	9	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	387	10	Peng	Peng	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	387	11	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	387	12	Y.	Y.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	388	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	388	2	2005	2005	CD
work_3gmfusebffdg3m6qdqgyme5u7e	388	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	388	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	389	1	MCAR	MCAR	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	389	2	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	389	3	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	389	4	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	389	5	class	class	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	389	6	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	389	7	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	389	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	389	9	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	389	10	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	389	11	approach	approach	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	389	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	390	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	390	2	Proceeding	Proceeding	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	390	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	390	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	390	5	3rd	3rd	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	390	6	IEEE	IEEE	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	390	7	international	international	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	390	8	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	390	9	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	390	10	computer	computer	NN
work_3gmfusebffdg3m6qdqgyme5u7e	390	11	systems	system	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	390	12	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	390	13	applications	application	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	390	14	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	390	15	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	390	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	391	1	1–7	1–7	LS
work_3gmfusebffdg3m6qdqgyme5u7e	391	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	391	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	392	1	Cairo	Cairo	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	392	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	392	3	Egypt	Egypt	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	392	4	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	393	1	WEKA	WEKA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	393	2	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	393	3	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	393	4	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	393	5	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	393	6	Data	Data	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	393	7	Mining	Mining	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	393	8	Software	Software	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	393	9	in	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	393	10	Java	Java	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	393	11	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	393	12	<	<	XX
work_3gmfusebffdg3m6qdqgyme5u7e	393	13	http://www.cs.wai-	http://www.cs.wai-	XX
work_3gmfusebffdg3m6qdqgyme5u7e	393	14	kato.ac.nz/ml/weka	kato.ac.nz/ml/weka	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	393	15	>	>	XX
work_3gmfusebffdg3m6qdqgyme5u7e	393	16	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	394	1	Witten	Witten	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	394	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	394	3	I.	i.	NN
work_3gmfusebffdg3m6qdqgyme5u7e	394	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	394	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	394	6	Frank	Frank	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	394	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	394	8	E.	E.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	394	9	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	394	10	2000	2000	CD
work_3gmfusebffdg3m6qdqgyme5u7e	394	11	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	394	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	395	1	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	395	2	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	395	3	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	395	4	practical	practical	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	395	5	machine	machine	NN
work_3gmfusebffdg3m6qdqgyme5u7e	395	6	learning	learning	NN
work_3gmfusebffdg3m6qdqgyme5u7e	395	7	tools	tool	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	395	8	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	395	9	techniques	technique	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	395	10	association	association	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	395	11	rules	rule	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	395	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	396	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	396	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	396	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	396	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	396	5	3rd	3rd	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	396	6	KDD	KDD	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	396	7	conference	conference	NN
work_3gmfusebffdg3m6qdqgyme5u7e	396	8	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	396	9	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	396	10	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	397	1	283–286	283–286	CD
work_3gmfusebffdg3m6qdqgyme5u7e	397	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	397	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	398	1	Yin	Yin	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	398	2	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	398	3	X.	X.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	398	4	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	398	5	&	&	CC
work_3gmfusebffdg3m6qdqgyme5u7e	398	6	Han	Han	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	398	7	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	398	8	J.	J.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	399	1	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	399	2	2003	2003	CD
work_3gmfusebffdg3m6qdqgyme5u7e	399	3	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	399	4	CPAR	CPAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	399	5	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	399	6	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	399	7	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	399	8	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	399	9	predictive	predictive	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	399	10	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	399	11	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	399	12	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	400	1	In	in	IN
work_3gmfusebffdg3m6qdqgyme5u7e	400	2	Proceedings	Proceedings	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	400	3	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	400	4	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	400	5	SDM	SDM	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	400	6	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	400	7	pp	pp	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	400	8	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	401	1	369–376	369–376	CD
work_3gmfusebffdg3m6qdqgyme5u7e	401	2	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	401	3	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	402	1	San	San	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	402	2	Francisco	Francisco	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	402	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	402	4	CA	CA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	402	5	.	.	.
work_3gmfusebffdg3m6qdqgyme5u7e	403	1	F.	F.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	2	Thabtah	Thabtah	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	3	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	403	4	P.	P.	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	5	Cowling	Cowling	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	6	/	/	SYM
work_3gmfusebffdg3m6qdqgyme5u7e	403	7	Expert	Expert	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	8	Systems	Systems	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	403	9	with	with	IN
work_3gmfusebffdg3m6qdqgyme5u7e	403	10	Applications	Applications	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	403	11	34	34	CD
work_3gmfusebffdg3m6qdqgyme5u7e	403	12	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	403	13	2008	2008	CD
work_3gmfusebffdg3m6qdqgyme5u7e	403	14	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	403	15	1093–1101	1093–1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	403	16	1101	1101	CD
work_3gmfusebffdg3m6qdqgyme5u7e	403	17	Mining	Mining	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	18	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	403	19	data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	403	20	from	from	IN
work_3gmfusebffdg3m6qdqgyme5u7e	403	21	a	a	DT
work_3gmfusebffdg3m6qdqgyme5u7e	403	22	hyperheuristic	hyperheuristic	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	23	approach	approach	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	24	using	use	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	403	25	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	26	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	27	Introduction	introduction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	28	The	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	403	29	training	training	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	30	scheduling	scheduling	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	31	problem	problem	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	32	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	403	33	hyperheuristics	hyperheuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	403	34	Data	Data	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	35	mining	mining	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	36	for	for	IN
work_3gmfusebffdg3m6qdqgyme5u7e	403	37	the	the	DT
work_3gmfusebffdg3m6qdqgyme5u7e	403	38	selection	selection	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	39	of	of	IN
work_3gmfusebffdg3m6qdqgyme5u7e	403	40	low	low	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	41	-	-	HYPH
work_3gmfusebffdg3m6qdqgyme5u7e	403	42	level	level	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	43	heuristics	heuristic	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	403	44	Associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	45	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	46	Classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	47	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	403	48	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	403	49	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	50	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	403	51	CBA	CBA	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	52	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	403	53	MCAR	MCAR	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	54	:	:	:
work_3gmfusebffdg3m6qdqgyme5u7e	403	55	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	56	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	57	class	class	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	58	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	59	based	base	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	403	60	on	on	IN
work_3gmfusebffdg3m6qdqgyme5u7e	403	61	association	association	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	62	rule	rule	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	63	Multi	Multi	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	64	-	-	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	65	class	class	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	66	,	,	,
work_3gmfusebffdg3m6qdqgyme5u7e	403	67	multi	multi	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	68	-	-	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	69	label	label	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	70	associative	associative	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	71	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	72	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	403	73	MMAC	MMAC	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	74	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	403	75	Traditional	traditional	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	76	classification	classification	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	77	approaches	approach	VBZ
work_3gmfusebffdg3m6qdqgyme5u7e	403	78	C4.5	C4.5	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	79	Repeated	repeat	VBN
work_3gmfusebffdg3m6qdqgyme5u7e	403	80	incremental	incremental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	81	pruning	prune	VBG
work_3gmfusebffdg3m6qdqgyme5u7e	403	82	to	to	TO
work_3gmfusebffdg3m6qdqgyme5u7e	403	83	produce	produce	VB
work_3gmfusebffdg3m6qdqgyme5u7e	403	84	error	error	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	85	reduction	reduction	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	86	algorithm	algorithm	NN
work_3gmfusebffdg3m6qdqgyme5u7e	403	87	(	(	-LRB-
work_3gmfusebffdg3m6qdqgyme5u7e	403	88	RIPPER	RIPPER	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	89	)	)	-RRB-
work_3gmfusebffdg3m6qdqgyme5u7e	403	90	PART	PART	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	91	Data	datum	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	403	92	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	403	93	experimental	experimental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	94	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	403	95	Data	Data	NNP
work_3gmfusebffdg3m6qdqgyme5u7e	403	96	sets	set	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	403	97	and	and	CC
work_3gmfusebffdg3m6qdqgyme5u7e	403	98	their	-PRON-	PRP$
work_3gmfusebffdg3m6qdqgyme5u7e	403	99	features	feature	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	403	100	Experimental	experimental	JJ
work_3gmfusebffdg3m6qdqgyme5u7e	403	101	results	result	NNS
work_3gmfusebffdg3m6qdqgyme5u7e	403	102	Conclusions	Conclusions	NNPS
work_3gmfusebffdg3m6qdqgyme5u7e	403	103	References	reference	NNS