quadgram

This is a table of type quadgram and their frequencies. Use it to search & browse the list to learn more about your study carrel.

quadgram	frequency
expert systems with applications	2943
in proceedings of the	952
t i o n	835
on the other hand	709
x x x x	538
proceedings of the th	502
can be used to	489
a a a a	489
a t i o	470
an expert system for	442
is the number of	426
is based on the	376
of the expert system	373
with respect to the	372
the performance of the	366
in the case of	364
as well as the	347
as shown in fig	326
the results of the	303
on the basis of	299
th international conference on	296
m e n t	296
in the form of	296
i i i i	295
the total number of	289
t h e r	287
is one of the	284
of an expert system	276
in the context of	273
it is possible to	267
at the same time	261
the size of the	258
one of the most	257
c c c c	256
t h a t	254
it is important to	241
a large number of	241
journal of operational research	236
of the th international	233
can be found in	233
i n f o	228
european journal of operational	225
save alert research feed	223
p a g e	220
ieee international conference on	214
the value of the	214
c o m p	210
conference on artificial intelligence	206
the quality of the	206
in terms of the	205
p p p p	204
rule rule rule rule	202
in the field of	200
as shown in figure	199
s t r a	199
n n n n	198
i o n s	197
and the number of	196
t h e n	196
is shown in fig	196
f o r m	195
the rest of the	195
the accuracy of the	194
is organized as follows	193
r a c t	190
the worker was not	188
it is necessary to	185
a fuzzy expert system	181
of this paper is	180
of the number of	180
t r a c	178
m a n u	177
in the knowledge base	176
the th international conference	174
in this paper we	173
paper is organized as	173
it can be seen	170
the use of the	169
b s t r	166
d m a n	166
at the end of	165
k n o w	165
of a set of	163
is shown in figure	162
a b s t	161
for each of the	161
the length of the	160
o t h e	156
a r t i	156
the fact that the	156
hindawi publishing corporation http	154
international journal of advanced	154
is the set of	154
to the fact that	153
o r m a	153
to be able to	151
e i n f	150
lecture notes in computer	150
r t i c	150
as the number of	150
in addition to the	148
notes in computer science	148
to the number of	148
c a t e	148
department of computer science	148
can be used for	145
m b e r	144
c t i o	143
the end of the	142
y s t e	141
f b d e	141
t i c l	140
i c l e	140
are shown in table	140
l e i n	140
is a set of	140
as shown in table	139
that can be used	139
based expert system for	139
expert system for the	138
e x p e	138
the development of a	138
c l e i	137
as a result of	137
h e r e	136
s y s t	136
s t e m	135
o o o o	135
can be used as	135
the structure of the	134
the analytic hierarchy process	133
db conf semweb om	132
de db conf semweb	132
the state of the	132
contents lists available at	131
n u m b	129
in the next section	129
if and only if	129
a ti o n	129
f r o m	126
sciencedirect expert systems with	126
h o m e	126
state of the art	125
manuscript a cc ep	124
ep te d m	124
u sc ri pt	124
a cc ep te	124
accepted manuscript a cc	124
a n u sc	124
cc ep te d	124
te d m a	124
n u sc ri	124
proceedings of the ieee	122
l o c a	121
d d d d	120
the values of the	120
x p e r	118
u m b e	118
in the development of	117
is defined as the	117
e l s e	116
the nature of the	115
o u r n	115
s ys te m	115
r n a l	115
o c a t	115
by the expert system	115
j o u r	115
due to the fact	115
m a t i	115
p e r t	114
o m e p	114
the use of a	114
it should be noted	114
u r n a	114
that there is a	113
e v i e	113
s e v i	113
e m e n	113
different user overlap levels	113
conference on machine learning	113
an expert system is	112
n is the number	112
l s e v	112
c o m l	112
m e p a	112
the context of the	112
h h h h	112
a l h o	111
in the process of	111
n a l h	111
is based on a	111
e p a g	111
l h o m	111
o m l o	111
m l o c	111
v i e r	111
a t e e	110
can be seen in	110
e e s w	110
of the knowledge base	110
e s w a	110
t e e s	110
it is not known	109
in order to obtain	109
c o n t	109
m o r e	109
com science journal http	108
association for computational linguistics	108
in this section we	108
systems with applications j	107
a wide range of	107
computer science and applications	107
is not known whether	107
applications j o u	107
it is clear that	107
the development of the	107
with applications j o	107
it is difficult to	106
should be noted that	106
of advanced computer science	106
i o n a	106
advanced computer science and	106
journal of advanced computer	106
ys te m s	106
fuzzy sets and systems	106
e n c e	105
the basis of the	105
t t t t	105
publishing ltd expert systems	105
taking into account the	105
can be used in	105
m e t h	105
n f o r	104
the analysis of the	104
be used as a	103
in such a way	103
c o m m	102
the set of all	102
please cite this article	102
pattern analysis and machine	102
as can be seen	101
a g e www	101
can be applied to	101
of the proposed method	101
an example of a	101
the expert system is	101
by means of a	100
the effectiveness of the	100
ieee transactions on systems	100
lists available at sciencedirect	99
e d g e	99
international joint conference on	99
e t h o	99
l e d g	98
proceedings of the international	98
g g g g	98
would be one of	98
not known whether the	98
available at sciencedirect expert	97
n o w l	97
at sciencedirect expert systems	97
t h o d	97
fuzzy expert system for	97
the employer and the	97
the result of the	97
for the purpose of	97
analysis and machine intelligence	97
with the help of	96
employer and the worker	96
w l e d	96
presented in this paper	96
the complexity of the	95
in the sense that	95
o w l e	95
the case of the	95
t c t c	95
the sum of the	95
r m a t	94
an expert system to	94
is due to the	94
expert system based on	94
the output of the	93
d a t a	93
o n a l	93
on pattern analysis and	93
the difference between the	93
we can see that	93
of the paper is	93
the employer paid to	92
the money that the	92
paid to the worker	92
employer paid to the	92
t a t i	92
money that the employer	92
that the employer paid	92
t i n g	91
in the same way	91
are based on the	91
at the university of	91
the paper is organized	90
for digital economy research	90
center for digital economy	90
i t i o	90
can be seen as	89
stem school of business	89
it is easy to	89
discovery and data mining	89
economy research stem school	89
knowledge discovery and data	89
of the high court	89
digital economy research stem	89
research stem school of	89
in the area of	89
r e n t	88
v v v v	88
the application of the	88
w i t h	88
r u l e	88
international journal of computer	87
in the number of	87
p r o b	87
international conference on machine	86
r e s e	86
performance of the proposed	86
as it can be	86
the user overlap level	86
the international conference on	86
o n o f	86
e v e r	85
k k k k	85
t h e s	85
the number of rules	85
in the training set	85
such a way that	84
s s s s	84
is shown in table	84
business ivorking paper is	84
ieee transactions on pattern	84
of business ivorking paper	84
to the worker was	84
knowledge and data engineering	84
journal of machine learning	84
c t c t	84
is related to the	84
school of business ivorking	84
e n t s	83
this paper is organized	83
r a t i	83
can be seen from	82
e r o f	82
one of the following	82
can be considered as	82
in the previous section	82
i o n o	82
of computer science and	82
as a function of	82
the employer did not	82
to deal with the	81
transactions on pattern analysis	81
a decision of the	81
for the selection of	80
evaluate the performance of	80
of the th annual	80
p o r t	80
a small number of	80
the proposed expert system	80
y y y y	80
can be viewed as	79
can be defined as	79
results show that the	79
b a s e	79
than or equal to	79
for the development of	79
m o d e	79
n f o keywords	79
where n is the	79
h n n n	79
m p l e	78
of the system is	78
the relationship between the	78
l a t i	78
m a i n	78
of machine learning research	78
in centimeters is the	78
a set of rules	77
in order to improve	77
the manner in which	77
the results show that	77
we would like to	77
through the use of	77
c o n s	77
to solve the problem	77
i n t e	76
in this paper is	76
p r e s	76
in order to make	76
joint conference on artificial	76
the number of the	76
the majority of the	76
is an open access	76
on the one hand	76
b l e m	75
this paper is to	75
a p p r	75
of the th acm	75
the maximum number of	75
and a set of	74
d f b d	74
on knowledge and data	74
by varying user overlap	74
on the number of	74
overlap level in the	74
of the international conference	74
algorithms by varying user	74
p p r o	74
varying user overlap level	74
m m m m	74
e e e e	74
user overlap level in	74
the high court of	74
n i n g	73
in order to achieve	73
high court of australia	73
an open access article	73
the goal is to	73
the rest of this	73
the importance of the	73
s h i p	73
article in press as	73
as part of the	73
start date scheduled end	72
on knowledge discovery and	72
the expert system was	72
take into account the	72
judges of the high	72
e t h e	72
in this case the	72
scheduled start date scheduled	72
o d e l	72
date target start date	72
journal of the american	72
date scheduled end date	72
the evaluation of the	72
systems with applications xxx	72
cite this article in	72
asset location description actual	72
location description actual end	72
this article in press	72
at the beginning of	72
to a set of	72
the nearest neighbour is	71
of the most important	71
that the relationship would	71
relationship would be one	71
the relationship would be	71
with the use of	71
the implementation of the	71
the fuzzy expert system	71
for the diagnosis of	71
international conference on information	71
r o b l	71
to the best of	71
one of the main	71
a b l e	71
an integral part of	71
o b l e	71
to be used in	71
e n t a	71
on the use of	71
f f e f	71
intention that the relationship	71
is similar to the	71
the average number of	70
by the number of	70
that the number of	70
the parameters of the	70
the selection of the	70
with a set of	70
c lu d e	70
f f d f	70
the form of a	70
in the construction industry	70
is used as the	70
the accused did not	70
a n c e	69
as a set of	69
to evaluate the performance	69
the expert system for	69
of science and technology	69
that there is no	69
should be able to	69
in order to evaluate	69
the part of the	69
the number of features	69
is the total number	69
s e n t	69
the beginning of the	69
applications of artificial intelligence	69
lu d e s	68
the knowledge base and	68
page page page page	68
b e r o	68
is said to be	68
n n n h	68
in order to avoid	68
the number of times	68
the employer paid the	68
the development of an	68
many times on page	68
employer paid the worker	68
a b o u	68
with different user overlap	68
which can be used	68
cited many times on	68
b o u t	68
of new south wales	68
the impact of the	68
there is a need	67
can be divided into	67
the decision did not	67
i c a l	67
f d e f	67
in the presence of	67
an example of the	67
end date maintenance operator	67
international journal of production	67
the way in which	67
e s e n	67
rest of the paper	67
international conference on artificial	67
scheduled end date maintenance	67
international conference on knowledge	66
e e e f	66
e v e l	66
the purpose of this	66
v a l u	66
d e f f	66
the distribution of the	66
a part of the	66
which is based on	66
published by elsevier ltd	66
on a set of	66
c e p t	66
this is an open	66
was to be done	66
f e f e	66
an important role in	66
by means of the	66
a function of the	65
with the aim of	65
as described in section	65
the effect of the	65
best of our knowledge	65
p r o p	65
p a r e	65
communications of the acm	65
the best of our	65
e f d e	65
in the domain of	65
of the proposed approach	65
o m p o	65
have been proposed to	65
oa de d by	64
as shown in the	64
r a m e	64
decision support system for	64
can be seen that	64
conference on computer vision	64
are shown in fig	64
it is based on	64
mapped to a descriptor	64
nl oa de d	64
d ow nl oa	64
an overview of the	64
s o m e	64
this means that the	64
t a i n	64
could be used to	64
ow nl oa de	64
is associated with a	63
was not stated to	63
d u c t	63
a wide variety of	63
not stated to be	63
for the sake of	63
will be able to	63
transactions on knowledge and	63
the name of the	63
w w w w	63
worker was not stated	63
the characteristics of the	63
to observe natural justice	62
grade structural light framing	62
conference on knowledge discovery	62
is defined as follows	62
to take into account	62
in the following sections	62
n t e r	62
of lecture notes in	62
expert system is a	62
the p r o	62
c o n c	62
s w it h	62
in the expert system	62
proceedings of the nd	62
d i n g	62
c o n d	62
a measure of the	62
can be represented as	62
ieee transactions on knowledge	62
o m a i	62
must be able to	61
upper and lower probabilities	61
m p o r	61
of the proposed system	61
in a way that	61
in accordance with the	61
is equal to the	61
all user overlap levels	61
xp er t s	61
can be regarded as	61
it is assumed that	61
on artificial intelligence and	61
d o m a	61
is used as a	61
er t s ys	61
d i t i	61
the number of clusters	61
o n d i	61
t s ys te	61
length of the sth	61
e xp er t	61
the knowledge base is	61
be added to the	61
be found in the	61
in t h e	60
if there is a	60
n t o f	60
o p e r	60
reduce the number of	60
is referred to as	60
r r r r	60
m e a n	60
as well as a	60
the same as the	60
integral part of the	60
it can be observed	60
the behavior of the	60
approach to case law	60
in the real world	60
be used in the	60
e n t e	60
that the use of	60
vision and pattern recognition	60
by a set of	60
in comparison to the	60
e p r e	60
in order to determine	60
expert systems for chromatography	59
t i v e	59
it is possible that	59
the worker was allowed	59
o d u c	59
cases in which the	59
in the use of	59
are summarized in table	59
reach in centimeters is	59
worker was allowed to	59
this is due to	59
in an expert system	59
t h e m	59
are presented in table	59
proceedings of the acm	59
do i to nwareh	59
can be described as	59
it can be used	59
is given by the	59
in the design of	58
be seen as a	58
o u n d	58
the validity of the	58
r o d u	58
computer vision and pattern	58
as one of the	58
the aim of this	58
in order to find	58
review under responsibility of	58
is an example of	58
is represented by a	58
ti o n s	58
can be obtained by	58
s i o n	58
in expert systems with	58
from a set of	58
is structured as follows	57
r e p r	57
by the fact that	57
f f f f	57
be taken into account	57
m e a s	57
a r e n	57
for of user overlap	57
e a s u	57
at the time of	57
the worker by time	57
a b c d	57
used to evaluate the	57
the results for the	57
height in centimeters is	57
to the development of	57
o g r a	57
is the same as	57
it is not possible	57
shows an example of	57
the efficiency of the	57
with respect to a	57
expert system can be	57
the nearest other is	57
t a n t	56
the proposed method is	56
e c o n	56
the objective is to	56
to find the best	56
is added to the	56
can also be used	56
s a n d	56
sec sec sec sec	56
development of an expert	56
of the english high	56
would like to thank	56
e r t s	56
te r fo r	56
division of the english	56
f t h e	56
an expert system that	56
the work that was	56
u c t i	56
e l a t	56
the results of this	56
the english high court	56
f a c t	55
n h h h	55
expert systems have been	55
of the sth percentile	55
of a number of	55
be considered as a	55
m e d i	55
temporal and location dimensions	55
o n t r	55
a large amount of	55
principal and independent contractor	55
in international conference on	55
is considered to be	55
the set o f	55
despite the fact that	55
the temporal and location	55
the weight of the	55
o u g h	55
decision did not affect	55
work was to be	55
of the work that	55
an aspect of the	55
in order to provide	55
aspect of the work	55
e c o m	54
m s w it	54
to use her his	54
r fo r s	54
of each of the	54
her his own discretion	54
o f th e	54
engineering applications of artificial	54
use her his own	54
uncertainty in artificial intelligence	54
his own discretion in	54
can be expressed as	54
a n d the	54
n t i n	54
was not specified beforehand	54
on the part of	54
n n h h	54
neural information processing systems	54
li ge nc e	54
work that was not	54
c om pu ta	54
e r e n	54
own discretion in doing	54
in order to be	54
can be observed that	54
discretion in doing an	54
that was not specified	54
yes yes yes yes	54
allowed to use her	54
an expert system based	53
r e l a	53
blackwell publishing ltd expert	53
on al i nt	53
d c om pu	53
doing an aspect of	53
c en te r	53
l l l l	53
work performed by the	53
h c en te	53
i nt el li	53
s ig na ls	53
an d c om	53
it h a pp	53
in the absence of	53
r s ig na	53
w it h a	53
ta ti on al	53
a pp li ca	53
manner in which the	53
are shown in figure	53
proceedings of the rd	53
and user overlap levels	53
reported in the literature	53
ea rc h c	53
al i nt el	53
ca ti on s	53
o f t h	53
s tr in g	53
f e e e	53
en te r fo	53
research and development in	53
referred to as the	53
m s an d	53
the elements of the	53
m il on e	53
ar s in c	53
performed by the worker	53
proposed in this paper	53
the work performed by	53
the case of a	53
ti on al i	53
li ca ti on	53
om pu ta ti	53
rc h c en	53
for the expert system	53
in doing an aspect	53
es ea rc h	53
r es ea rc	53
te m s w	53
the definition of the	53
to ensure that the	53
pp li ca ti	53
nt el li ge	53
a result of the	53
pu ta ti on	53
s an d c	53
te m s an	53
n c e r	53
el li ge nc	53
the meaning of the	53
h a pp li	53
proceedings of the third	53
the extent to which	53
fo r s ig	53
the expert system and	52
the scope of the	52
proceedings of the first	52
depending on the user	52
e n t i	52
in which the work	52
i c a t	52
available online at www	52
if the work performed	52
com science article pii	52
published in expert systems	52
be noted that the	52
li li li li	52
any intention that the	52
in relation to the	52
the ability of the	52
when the number of	52
o m p u	52
worker did not express	52
o m p a	52
background save alert research	52
be viewed as a	52
m p u t	52
e n t o	52
have been used to	52
wiley publishing ltd expert	52
that is to say	52
the scope of this	52
of expert systems in	52
o n s h	52
the degree to which	51
make a profit loss	51
did not express any	51
f d f b	51
loss if the work	51
not express any intention	51
will be used to	51
data mining and knowledge	51
the true owner of	51
true owner of the	51
r e s p	51
p r o o	51
international journal of engineering	51
e f f f	51
express any intention that	51
is defined as a	51
to the use of	51
p r o g	51
was affected by the	51
are included in the	51
g r a m	51
used to calculate the	51
and the worker did	51
c c e e	51
the worker did not	51
is not possible to	51
to assist with her	50
cost less more than	50
e f e f	50
c t o r	50
less more than expected	50
rule based expert system	50
a profit loss if	50
f e r e	50
r o o f	50
in the data set	50
lecture notes in artificial	50
others to assist with	50
of principal and independent	50
results are shown in	50
are related to the	50
the work was to	50
u a t i	50
one of principal and	50
be one of principal	50
with her his work	50
r o g r	50
s p o n	50
from the point of	50
t y p e	50
a c c e	50
it is worth noting	50
profit loss if the	50
point of view of	50
f e e f	50
to employ others to	50
assist with her his	50
by the worker cost	50
a p p a	50
employ others to assist	50
allowed to employ others	50
with regard to the	49
to the set of	49
which the work was	49
her his own account	49
in business on her	49
the worker cost less	49
this paper proposes a	49
the information from the	49
m a n y	49
notes in artificial intelligence	49
o u n t	49
for the analysis of	49
m o d u	49
allows the user to	49
p p a r	49
a limited number of	49
we propose a new	49
in terms of accuracy	49
the architecture of the	49
acm sigkdd international conference	49
business on her his	49
the objective of this	49
with the number of	49
mining and knowledge discovery	49
t h e c	49
t s y s	49
a asset location description	49
the number of data	49
sigkdd international conference on	49
international conference on data	49
the aim is to	49
if the number of	49
r a t e	49
on her his own	49
m a y be	49
of the association for	49
of employer and employee	49
the content of the	49
paye tax instalments from	49
proceedings of the conference	48
as illustrated in figure	48
version of the paper	48
the algorithms by varying	48
in the analytic hierarchy	48
c b c b	48
a n d a	48
conclusions and future work	48
be mapped to a	48
for peer review of	48
t e m p	48
worker cost less more	48
the system can be	48
australasian performing right association	48
n t e d	48
dimension with different user	48
s t a n	48
for the algorithms by	48
in order to reduce	48
results of each algorithm	48
development in information retrieval	48
the average of the	48
tax instalments from the	48
o r t a	48
as well as to	48
n s h i	48
instalments from the worker	48
x for peer review	48
a set o f	48
which was affected by	48
the knowledge base of	47
r t s y	47
the existence of a	47
the goal of the	47
the purpose of the	47
this paper presents a	47
i m u m	47
r e a s	47
to expert systems with	47
are used in the	47
acm international conference on	47
of expert systems for	47
journal of the operational	47
improve the performance of	47
proceedings of the second	47
rest of this paper	47
user overlap level for	47
e f e e	47
f f f e	47
and the use of	47
the calculation of the	47
is mapped to a	47
one of employer and	47
represents the number of	47
e c t i	47
of the proposed algorithm	47
m a t e	47
expert systems in the	47
it is shown that	47
model of legal reasoning	47
the top of the	47
of the premises where	46
in a ti o	46
of this study is	46
in the rule base	46
a n d t	46
the remainder of this	46
expectation which was affected	46
the interests of the	46
the knowledge of the	46
e f f e	46
domain algorithms by varying	46
stated to be a	46
b b b b	46
be one of employer	46
part of the employer	46
performed on the employer	46
rule based expert systems	46
each algorithm for eye	46
n t h e	46
that the proposed method	46
of hindawi publishing corporation	46
and its application to	46
be included in the	46
an expert system in	46
and of user overlap	46
of each algorithm for	46
h i c h	46
t h a n	46
in neural information processing	46
d e te rm	46
as a measure of	46
a c o n	46
the international journal of	46
w h i c	46
n d i t	46
of the operational research	46
as a basis for	46
te rm in a	46
performing right association ltd	46
show that the proposed	46
owner of the chattel	46
rm in a ti	46
order to improve the	46
the number of possible	46
the premises where the	46
than that of the	46
has been used to	46
the details of the	46
e te rm in	46
n o w n	46
is worth noting that	46
the aim of the	45
i m p o	45
is important to note	45
cc u ra cy	45
this is the case	45
premises where the chattel	45
the transport with which	45
second international conference on	45
in that case the	45
n n h n	45
of the system and	45
f e f f	45
the position of the	45
artificial intelligence and law	45
on the user overlap	45
a legal expert system	45
the point of view	45
to one of the	45
international conference on computer	45
a cc u ra	45
d e n t	45
system is able to	45
f f e e	45
according to the following	45
work at specified times	45
the chattel was found	45
a subset of the	45
as mentioned in section	45
volume hindawi publishing corporation	45
required to work at	45
of one or more	45
to work at specified	45
the features of the	45
the classification of the	45
the conventional interest operator	45
improve the quality of	45
the same number of	45
the relative importance of	45
advances in neural information	45
used to determine the	45
where the chattel was	45
transport with which she	45
to that of the	45
with which she he	45
t e d m	44
vessel not used pilot	44
e r a t	44
a pragmatic approach to	44
preprint submitted to expert	44
only for the employer	44
that need to be	44
the decision affected the	44
right association ltd v	44
pubmed dopt abstract list	44
is used in the	44
used in this study	44
e t e r	44
to work only for	44
order to evaluate the	44
dopt abstract list uids	44
the large number of	44
used to estimate the	44
n d i n	44
the design of the	44
b d e f	44
abstract list uids http	44
is the th percentile	44
l e m e	44
has been used in	44
journal of hindawi publishing	44
cmd retrieve db pubmed	44
a legitimate expectation which	44
retrieve db pubmed dopt	44
t h e i	44
legitimate expectation which was	44
from the perspective of	44
work only for the	44
submitted to expert systems	44
r t a n	44
she he performed the	44
compare the performance of	44
the performance of our	44
have been used in	44
the estimation of the	44
an intention that the	44
the expert system to	44
can be represented by	44
n e n t	44
which she he performed	44
he performed the work	44
the most commonly used	44
a new approach to	44
db pubmed dopt abstract	44
upper height in centimeters	43
a great deal of	43
com volume hindawi publishing	43
w h e n	43
affected by the decision	43
in the first stage	43
the operational research society	43
artificial intelligence in medicine	43
the choice of the	43
n t a t	43
obliged to work only	43
e f o r	43
we are interested in	43
p u t e	43
e e f d	43
proceedings of the fifth	43
o a c h	43
international conference on intelligent	43
o n y m	43
n c l u	43
e a c h	43
third international conference on	43
p o n e	43
the number of nodes	43
a t e d	43
o n s t	43
pacific rim property research	43
method is based on	43
proceedings of the st	43
as well as in	43
rim property research journal	43
o n e n	43
that the expert system	43
n o n y	43
to reduce the number	43
l e v e	42
it can also be	42
the paper published in	42
the order in which	42
in an attempt to	42
the construction of the	42
to the expert system	42
that most of the	42
are presented in section	42
lane lane lane lane	42
international conference on web	42
in the worst case	42
the creative commons attribution	42
c d e f	42
of the paper published	42
interests of the applicant	42
draft version of the	42
on the type of	42
the expert system can	42
valued dominance decision information	42
can be written as	42
p a r a	42
c a t i	42
paper published in expert	42
the world wide web	42
have been proposed in	42
be used by the	42
effectiveness of the proposed	42
open access article under	42
n a n a	42
r o a c	42
percentile standing elbow height	42
a description of the	42
e s p o	42
s u r e	42
the probability of the	42
a t h e	42
international journal of man	42
bench division of the	42
c c e p	42
the influence of the	42
paper is structured as	42
access article under the	42
h h n n	42
is a measure of	42
be regarded as a	41
in the temporal dimension	41
p t i o	41
t m e n	41
n t r o	41
f o r example	41
the rules in the	41
t t h e	41
o f the system	41
r e n c	41
c r ip t	41
e c c e	41
as the basis for	41
percentile sitting elbow height	41
n o t a	41
can see that the	41
the description of the	41
important to note that	41
op en op en	41
for all user overlap	41
the performance of a	41
the american society for	41
o u l d	41
a t i c	41
the behaviour of the	41
s c r ip	41
the results obtained by	41
e d m a	41
can be used by	41
o r r e	41
in a number of	41
see front matter q	41
provided the transport with	41
makes it possible to	41
m m o n	41
a term is a	41
the expert system in	41
a t c h	41
o m m o	41
was found to be	41
one of the major	40
of the proposed algorithms	40
on the performance of	40
i n c lu	40
fuzzy expert system to	40
of the most popular	40
published by elsevier b	40
under the cc by	40
the distance between the	40
an extension of the	40
was based on the	40
i n e s	40
is that it is	40
o f c o	40
u m a n	40
h u m a	40
of computer and information	40
of the set of	40
t e r m	40
r t h e	40
is defined by the	40
the owner of the	40
standard deviation of the	40
n c lu d	40
annual meeting of the	40
in contrast to the	40
an employee of the	40
science article pii s	40
information provided by the	40
h h h n	40
be the number of	40
predictive performance of the	40
the system and the	40
from the fact that	40
the infringer was not	40
a n u s	40
the other claimant was	40
a decision support system	40
infringer was not an	40
article under the cc	40
then it is definite	40
was not allowed to	40
the evolution of the	40
the fact that it	40
the number of training	40
it has been shown	40
is n o t	40
turned out to be	40
is shown in the	40
to select the best	40
it is interesting to	40
we assume that the	40
as well as their	39
com locate eswa http	39
p a r t	39
is an expert system	39
the input and output	39
t i m e	39
and development in information	39
and n is the	39
u s c r	39
of the conference on	39
i j e s	39
d i j e	39
a better understanding of	39
the order of the	39
l q p a	39
j e s t	39
algorithm is used to	39
m is the number	39
is the length of	39
e c e d	39
was an integral part	39
q p a in	39
based on the results	39
the association for computational	39
is determined by the	39
in the first case	39
for an expert system	39
is a function of	39
conclusion and future work	39
of the search space	39
and the set of	39
used in this paper	39
e f f d	39
plays an important role	39
of a total of	39
p t e d	39
of t h e	39
reader is referred to	39
r l q p	39
of the rule base	39
the use of an	39
on research and development	39
in ieee international conference	39
the weights of the	39
e p t e	39
volume of lecture notes	39
a t t e	39
are stored in the	39
of the expert systems	39
be represented as a	39
the first step in	39
used in the experiments	39
consists of a set	39
of the system to	39
to improve the quality	39
the speed of the	39
n u s c	39
of the data set	39
i m a t	39
of the american society	39
t r a t	38
are listed in table	38
conference on information and	38
p r o a	38
h a v e	38
can be interpreted as	38
s y n o	38
on computer vision and	38
the number of iterations	38
a p r o	38
into a set of	38
in this work we	38
an artificial neural network	38
s p e c	38
american society for information	38
for the detection of	38
manuscript a c c	38
of this research is	38
the value of a	38
a summary of the	38
the overall performance of	38
no no no no	38
order to obtain a	38
eai endorsed transactions on	38
m a t c	38
accepted manuscript a c	38
the instant case and	38
considered by the project	38
this is because the	38
the hypothetical case and	38
to be the most	38
there are a number	38
f e v e	38
society for information science	38
t a b l	38
blue eyes intelligence engineering	38
in order to identify	38
a s e d	38
in the location dimension	38
can be obtained from	38
the comparison of the	38
worker was not allowed	38
the selection of a	38
national conference on artificial	38
are a number of	38
e a e a	38
this work was supported	38
in the following way	38
centimeters is the th	38
which is used to	38
between the hypothetical case	38
y n o n	38
t e m s	38
the properties of the	38
the information provided by	38
level in the temporal	38
conclusions in this paper	38
of expert system for	38
be the set of	38
u r a l	37
in order to get	37
in the companion dimension	37
in the temporal and	37
from the set of	37
t i m a	37
i n g t	37
contextual values from the	37
the similarity between the	37
the user and the	37
the use of expert	37
a t e g	37
if there is no	37
s u p p	37
and it can be	37
journal of production research	37
to the knowledge base	37
for each of these	37
a contract of service	37
for the case of	37
e m a n	37
approach is based on	37
f o r e	37
ieee transactions on neural	37
performance of the system	37
duty to observe natural	37
to solve this problem	37
an increase in the	37
we focus on the	37
we can say that	37
the first step is	37
there is no need	37
the worker was an	37
from the university of	37
the mean of the	37
that is based on	37
employee of the accused	37
the type of the	37
f lo a t	37
deduct paye tax instalments	37
did not affect the	37
n c e s	37
new south wales v	37
has been shown to	37
the proposed approach is	37
is presented in section	37
this study is to	37
ch e rr y	37
take advantage of the	37
is likely to be	36
system for the diagnosis	36
described in this paper	36
expert system in the	36
the combination of the	36
t h e p	36
we can conclude that	36
international journal of approximate	36
a model of the	36
we are able to	36
p e n d	36
in order to generate	36
information and knowledge management	36
ifi ca tio n	36
a high number of	36
on one of the	36
a case study of	36
as we can see	36
w o r k	36
all contextual values from	36
university of science and	36
the current state of	36
the reader is referred	36
and electronics in agriculture	36
source and target domains	36
was supported by the	36
using the expert system	36
of a human expert	36
the reason is that	36
chen expert systems with	36
the outcome of the	36
digital library based of	36
proposed in the literature	36
the workstation type is	36
is assumed to be	36
t e r a	36
the power to prevent	36
in the first phase	36
i f i c	36
in artificial intelligence and	36
be seen in the	36
order to determine the	36
b l e s	36
be applied to the	36
worker was an integral	36
based of expert system	36
the interpretation of the	36
on information and knowledge	36
library based of expert	36
o r d e	36
ss ifi ca tio	36
a n d c	36
neural network expert system	36
rules in the knowledge	36
a high degree of	36
the worker is an	36
t u r e	36
the same set of	36
c o r r	36
i b u t	36
as a tool for	36
p l e m	36
is clear that the	36
the contents of a	36
s h o w	36
epistemology of a rule	35
provided by the user	35
e rr o r	35
m i n i	35
and the type of	35
conference on research and	35
a i n t	35
l i t y	35
journal of intelligent systems	35
io na l a	35
that it can be	35
be seen that the	35
it is obvious that	35
front matter q elsevier	35
to take advantage of	35
trip pattern and vessel	35
c la ss ifi	35
design and implementation of	35
is a need for	35
r d e r	35
for arts heritage and	35
journal of computer science	35
be used as an	35
computers and electronics in	35
is illustrated in fig	35
n a cc u	35
the result of a	35
dominance decision information systems	35
minister for arts heritage	35
as a part of	35
for the prediction of	35
ca tio n a	35
tio n a cc	35
a l u e	35
whether or not the	35
a l l y	35
on world wide web	35
paper presented at the	35
t h o u	35
r i b u	35
s i g n	35
b c d e	35
is presented in figure	35
in natural language processing	35
the existence of the	35
the basis for the	35
o a b s	35
are likely to be	35
is then used to	35
elbow height plus the	35
n e s s	35
in one of the	35
the terms of the	35
the epistemology of a	35
for the purposes of	35
expert system for diagnosis	35
end if end for	35
pragmatic approach to case	35
in a variety of	35
b o t h	35
m p o n	35
a special case of	35
reasonable steps to avoid	35
takes into account the	35
the english court of	35
t r i b	35
f u z z	35
t h e y	35
la ss ifi ca	35
e r a n	35
can be classified into	35
r o m the	35
transactions on neural networks	35
e d f e	35
develop an expert system	35
the membership function of	35
the construction of a	35
r a n d	35
the goal of this	35
equal to the number	34
is represented as a	34
r i n g	34
u p p o	34
o n c l	34
e s h o	34
s i n g	34
the same way as	34
is an extension of	34
v e r s	34
the full court of	34
that it does not	34
the definition of a	34
h a t is	34
is made up of	34
n o t h	34
cite this article as	34
worker neither sick pay	34
eyes intelligence engineering sciences	34
described in the previous	34
employer did not deduct	34
a c t o	34
are given in table	34
c o n f	34
the worker expressed an	34
has been applied to	34
m i n g	34
to avoid the infringement	34
n f o a	34
full court of the	34
is applied to the	34
in the first step	34
i m p l	34
to find the optimal	34
in the range of	34
is a collection of	34
p e r a	34
known whether the employer	34
arts heritage and environment	34
developing an expert system	34
is used for the	34
sick pay nor holiday	34
the similarity between two	34
the presence of a	34
paid the worker neither	34
that are related to	34
the second and third	34
intelligence engineering sciences publication	34
m p t o	34
of the presence of	34
improve the accuracy of	34
a duty to observe	34
expert system has been	34
p t o m	34
neither sick pay nor	34
r m a l	34
did not deduct paye	34
the structure of a	34
is the use of	34
of the objective function	34
r r e s	34
in medicine and biology	34
to determine whether the	34
and the worker expressed	34
f o a b	34
nd international conference on	34
w h e r	34
an expert system can	34
the mean value of	34
r o u g	34
selection of search keys	34
unusual trip pattern and	34
pay nor holiday pay	34
journal of approximate reasoning	34
expressed an intention that	34
power to prevent the	34
approaches have been proposed	34
the strength of the	34
the percentage of the	34
use of expert systems	34
worker expressed an intention	34
of the neural network	34
a finite set of	34
conference on data mining	34
observe natural justice is	34
of this work is	34
can be improved by	34
of the system in	34
can be achieved by	34
n h n n	34
steps to avoid the	34
to improve the performance	34
five judges of the	34
the worker neither sick	34
i n e d	34
in line with the	34
p o n d	34
not deduct paye tax	34
english court of appeal	34
in a similar way	33
by the inference engine	33
c t i v	33
national chiao tung university	33
the number of hidden	33
is the sum of	33
to be used as	33
ul tu ra l	33
of the copyright act	33
a p e r	33
was allowed to use	33
were used in the	33
varying the user overlap	33
an expert system shell	33
sigir conference on research	33
to the problem of	33
the lower and upper	33
computer and information science	33
ic ul tu ra	33
gr ic ul tu	33
ra l l ib	33
p r o v	33
tu ra l l	33
that it is not	33
international journal of intelligent	33
s n o t	33
l a gr ic	33
each one of the	33
expert system for daylighting	33
and at the same	33
u z z y	33
f r a m	33
in the course of	33
p r o d	33
the success of the	33
t o t h	33
a ug us t	33
v e r y	33
t h e d	33
detailed description of the	33
of liquid retaining structures	33
in terms of a	33
de d by n	33
a r r i	33
by n at io	33
there is only one	33
l ib ra ry	33
ib ra ry at	33
model is based on	33
n at io na	33
by varying the user	33
l l ib ra	33
design of liquid retaining	33
d by n at	33
o v e r	33
proceedings of the fourth	33
methods save alert research	33
it is impossible to	33
take reasonable steps to	33
one of the first	33
to be used for	33
the standard deviation of	33
by the use of	33
in the hidden layer	33
that the performance of	33
the context of a	33
contractor to the accused	33
at io na l	33
is the process of	33
in the test set	33
this is not a	33
a gr ic ul	33
a c c u	33
t o r s	33
the first step of	33
a prototype expert system	33
in the diagnosis of	33
order to obtain the	33
are assumed to be	33
journal of production economics	33
the statistical significance tests	33
na l a gr	33
the role of the	33
the number of variables	33
s y m p	33
of the third international	33
class class class class	33
journal of artificial intelligence	33
remainder of this paper	33
order to reduce the	33
f d f f	33
the cost of the	33
the main objective of	33
of the university of	33
to prevent the infringement	33
e f b d	33
is to find a	32
was likely to be	32
that it is possible	32
an independent contractor to	32
it was found that	32
is no need to	32
to find out the	32
to an incitement to	32
system is shown in	32
the objective of the	32
in the second stage	32
the number of attributes	32
to anticipate or suspect	32
o u t p	32
first international conference on	32
have been applied to	32
t h e a	32
acm sigir conference on	32
system for daylighting design	32
r o c e	32
e e c c	32
the optimal number of	32
the direction of the	32
t h r o	32
incitement to infringe on	32
level for all contextual	32
in order to assess	32
we will use the	32
a n d w	32
a c t i	32
statistical significance tests verified	32
e r a l	32
o s y n	32
reducing the number of	32
p o s e	32
the sth percentile sitting	32
independent contractor to the	32
from left to right	32
n m e n	32
under responsibility of the	32
the use o f	32
in centimeters is as	32
lists available at sciverse	32
used to identify the	32
for the evaluation of	32
i l i t	32
is composed of a	32
has been shown that	32
it io n e	32
lin expert systems with	32
part of the accused	32
in a set of	32
is the value of	32
at the level of	32
u t i o	32
an incitement to infringe	32
to infringe on the	32
r m i n	32
overlap level for all	32
related to an incitement	32
infringe on the part	32
as in the case	32
pdf save alert research	32
significance tests verified that	32
o u rs e	32
used to represent the	32
of the leading cases	32
th european conference on	32
references background save alert	32
c o u rs	32
significant differences between the	32
greater than or equal	32
metric performance x top	32
s y n c	32
pay the worker by	32
infringing act was to	32
of the application of	32
t p u t	32
presented to the user	32
causally related to an	32
s w a http	32
in the near future	32
on the quality of	32
r e a t	32
u t p u	32
an expert system approach	32
is assigned to the	32
there is nothing in	32
reason to anticipate or	32
a m e t	32
less than or equal	32
are used for the	32
structural light framing no	32
the reliability of the	32
u l a r	32
play an important role	32
in the instant case	32
a s u r	32
it is mapped to	32
the creation of a	32
of a specific journal	31
in order to have	31
empty exception params is	31
can be calculated by	31
from the box above	31
de d by u	31
vertical reach in centimeters	31
the supreme court of	31
please send an email	31
i o s y	31
used may be incorrect	31
h n h n	31
a specific journal in	31
u ni ve rs	31
author or article title	31
the estimated thigh width	31
is represented by the	31
solution to the problem	31
of the first international	31
be seen from table	31
in order to compare	31
d f e e	31
the complete pmc archive	31
worker was not in	31
script type text javascript	31
params is empty sys	31
specific journal in pmc	31
text javascript src corehtml	31
click on one of	31
n c r a	31
we have used the	31
the proposed system is	31
the work was not	31
no params is empty	31
block page not available	31
the box above in	31
that you used may	31
d i o s	31
be used as the	31
o n c e	31
of positive and negative	31
the following links to	31
using lsi for technology	31
o u t the	31
above in your message	31
area under the roc	31
contents of a specific	31
in the light of	31
the ratio of the	31
have been developed to	31
that the infringing act	31
exception params is empty	31
international conference on computational	31
empty sys exception wp	31
was not in business	31
h o w e	31
an email to pmc	31
the th acm sigkdd	31
in the previous sections	31
work was supported by	31
a specific article by	31
in the rule book	31
find a specific article	31
src corehtml pmc jig	31
system is based on	31
javascript src corehtml pmc	31
university of new south	31
with the exception of	31
or was likely to	31
peak power demand reduction	31
decision affected the property	31
this work has been	31
type text javascript src	31
act was to be	31
d by u ni	31
uk no params is	31
i d i o	31
by u ni ve	31
the frequency of the	31
is greater than the	31
interactive expert system for	31
following links to continue	31
for daylighting design exploration	31
of the following links	31
an interactive expert system	31
p r o c	31
there has been a	31
y n c r	31
you used may be	31
c u ra c	31
params is empty exception	31
figure figure figure figure	31
the infringer the means	31
to continue using pmc	31
is empty sys exception	31
which means that the	31
the number of cases	31
information from the box	31
include the information from	31
the means of infringing	31
the rules of the	31
i e e e	31
a n a g	31
situ a ti o	31
article by its citation	31
search the complete pmc	31
of the system was	31
specific article by its	31
send an email to	31
the th percentile standing	31
is empty exception params	31
t a n d	31
to speed up the	31
links to continue using	31
john wiley and sons	31
the execution of the	31
to be carried out	31
e n d e	31
conference on world wide	31
corehtml pmc pmcgifs wm	31
c c u ra	31
the web page address	31
horizontal reach in centimeters	31
th international workshop on	31
box above in your	31
the probability of a	31
the area under the	31
in terms of their	31
m a r r	31
browse the contents of	31
n a n d	31
the infringing act was	31
if you need further	31
uk params is empty	31
infringer the means of	31
domain in the temporal	31
performing right society ltd	31
between the instant case	31
not in business on	31
j an ua ry	31
not take into account	31
of the algorithm is	31
was an independent contractor	31
ni ve rs it	31
page not available reason	31
you need further help	31
lsi for technology classification	31
the number of documents	31
term is a single	30
on the set of	30
n a g e	30
t c h e	30
y e ll o	30
r f o r	30
e e e trans	30
the second international conference	30
by taking into account	30
o n i n	30
i n g a	30
and support vector machines	30
th acm sigkdd international	30
does not need to	30
the third international conference	30
based on fuzzy logic	30
the main goal of	30
part o f the	30
e ll o w	30
the knowledge acquisition process	30
has the ability to	30
c o m b	30
let us consider the	30
international conference on world	30
three judges of the	30
the time of the	30
the relationships between the	30
of the proposed model	30
based on the concept	30
n a t i	30
s i t i	30
can be represented in	30
t t e r	30
a way that the	30
the robustness of the	30
n a m e	30
is equivalent to the	30
u l e s	30
that the system is	30
is better than the	30
using an expert system	30
s t r u	30
the minimum number of	30
n g i n	30
carried out by the	30
used to test the	30
of the instant case	30
th th th th	30
are reported in table	30
f c f e	30
a l u a	30
it is not necessary	30
review of the main	30
acm transactions on information	30
that they do not	30
mathematical problems in engineering	30
for the book domain	30
there are several significant	30
m o u s	30
n e u r	30
agents and multiagent systems	30
the proposed algorithm is	30
the results are shown	30
it is expected that	30
be due to the	30
a high level of	30
a t t h	30
an analysis of the	30
and the results of	30
the results obtained from	30
p o r a	30
t e n t	30
of the federal court	30
have been used for	30
w h it e	30
w for all tests	30
n h h n	30
a large set of	30
the square root of	30
the specific infringement was	30
th international joint conference	30
used in order to	30
l u a t	30
the bottom of the	30
r o p o	30
w i l l	30
the knowledge base for	30
w e v e	30
the selection of search	30
the different types of	30
is described in section	30
journal of the royal	30
e m b e	30
and w for all	30
available at sciverse sciencedirect	30
of the use of	30
the concept of a	30
in c lu d	30
book domain in the	30
for the identification of	30
for the generation of	30
engineering in medicine and	30
in each of the	30
beyond the scope of	30
in terms of its	30
t e g o	29
each of the four	29
is part of the	29
is the weight of	29
r ec og ni	29
transactions on software engineering	29
the th percentile body	29
lower height in centimeters	29
of the model is	29
was partially supported by	29
used to compute the	29
in the selection of	29
system based on the	29
of the main developments	29
o r a l	29
knowledge and information systems	29
f e f c	29
be a set of	29
on the concept of	29
i n i n	29
rd international conference on	29
are similar to the	29
h e c o	29
are added to the	29
u ra c y	29
can be expressed in	29
is important to mention	29
a s s u	29
times on page and	29
was not obliged to	29
so that it can	29
the end of each	29
used to measure the	29
in order to solve	29
system for diagnosis of	29
denote the set of	29
k i n g	29
f a c e	29
d e t e	29
n t i m	29
the effects of the	29
a solution to the	29
so as to be	29
o l o g	29
be divided into two	29
eswa expert systems with	29
the development of expert	29
of the workshop on	29
the level of the	29
the first one is	29
of a knowledge base	29
the predictive performance of	29
c h a n	29
y m p t	29
are considered to be	29
united states of america	29
as well as its	29
to warrant any change	29
com locate eswa expert	29
n y m o	29
p e r f	29
the most widely used	29
denotes the number of	29
that is used to	29
did not have a	29
d e n c	29
to select the most	29
th percentile body depth	29
ec og ni ti	29
e e d e	29
sergio cuadro de texto	29
of the privy council	29
the basis of a	29
based on the following	29
for the first time	29
within the context of	29
is illustrated in figure	29
o w e v	29
centimeters is as follows	29
in proceedings of ieee	29
in most of the	29
at sciverse sciencedirect expert	29
o d u l	29
over a period of	29
not performed on the	29
o n t i	29
any change in my	29
of the training data	29
og ni ti on	29
as an expert system	29
conference on neural networks	29
v e r a	29
was not performed on	29
are more likely to	29
a and b are	29
is considered as a	29
the remainder of the	29
the core of the	29
the differences between the	29
c r a t	29
work was not performed	29
warrant any change in	29
expert system consists of	29
a case study in	29
proceedings of the workshop	29
a cnc turning centre	29
of the existence of	29
e r f o	29
c f e f	29
be used for the	29
sciverse sciencedirect expert systems	29
also be used to	29
th ieee international conference	29
m a n a	29
fuzzy expert system is	29
structural light framing sel	29
under the roc curve	29
is a need to	29
computer science and engineering	29
to be used by	28
dimension and user overlap	28
t o m s	28
gld johnson su skewed	28
international acm sigir conference	28
a period of time	28
current state of the	28
can be done by	28
in the united states	28
e n u m	28
n d e r	28
one of the best	28
were greater than the	28
the number of input	28
e t h a	28
is stored in the	28
be used to determine	28
a r a m	28
o p o s	28
the information about the	28
the same as in	28
right society ltd v	28
is a computer program	28
e v a l	28
a t u r	28
r e c o	28
has been developed to	28
o n s i	28
this section describes the	28
pilot and not informed	28
change in my conclusion	28
o n t h	28
the location of the	28
each of the three	28
r e f e	28
the operation of the	28
results indicate that the	28
the work classification correction	28
e d i c	28
transactions on information systems	28
e l o p	28
and can be used	28
of the second international	28
the training data set	28
of the hepar system	28
q u e n	28
hybrid stage shop scheduling	28
the application of a	28
a l c o	28
in the following section	28
and not informed port	28
transactions on scalable information	28
where m is the	28
model based on the	28
on the interests of	28
endorsed transactions on scalable	28
mean absolute percent error	28
and the quality of	28
present the results of	28
h r o u	28
not be able to	28
on scalable information systems	28
the decision making process	28
e d i u	28
the rule base is	28
are given in section	28
of the time series	28
have been developed in	28
contextual dimension and user	28
e s y s	28
a s o n	28
is the result of	28
which is shown in	28
vessel ordered pilot and	28
the second part of	28
in the evaluation of	28
tests verified that the	28
d e d f	28
o n s e	28
fuzzy set theory and	28
new england bus system	28
m a k e	28
the united states government	28
the sth percentile arm	28
d i u m	28
ordered pilot and not	28
work classification correction factor	28
for each pair of	28
heritage and environment v	28
m b i n	28
the royal statistical society	28
a m p l	28
e p r o	28
be used in a	28
advances in engineering software	28
based expert system to	28
a c h o	28
h a t t	28
a p p e	28
e f e r	28
a n a n	28
s s u m	28
t e c h	28
the results of these	28
the result is a	28
of the royal statistical	28
that procedural fairness would	28
u s i o	28
statutory right to appeal	28
of the creative commons	28
results in terms of	28
international journal of human	28
that an expert system	28
locate eswa expert systems	28
given a set of	28
development of expert systems	28
in the set of	28
proceedings of th international	27
authors would like to	27
the sense that they	27
d e e d	27
like to thank the	27
to note that the	27
have a legitimate expectation	27
un co rr ec	27
rr ec te d	27
journal of computer applications	27
i n t i	27
l n n n	27
into a number of	27
of the inference engine	27
one of the two	27
it ru s di	27
to the lack of	27
can be described by	27
a discrete impact on	27
y m o u	27
o f qu ar	27
international journal of forecasting	27
t h e e	27
di se as es	27
based on a set	27
is the case of	27
developments in the analytic	27
of london corporation v	27
to evaluate the proposed	27
of this approach is	27
ti on o f	27
identification with semantic web	27
when there is a	27
on empirical methods in	27
c c f e	27
with the expert system	27
as es e xp	27
for all of the	27