id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3qibjvwhv5hrzhnlia3sdxdgvq	Mahawaga Arachchige Pathum Chamikara	Fuzzy based binary feature profiling for modus operandi analysis	2016	32	.pdf	application/pdf	12124	1334	64	collection of data mining algorithms which effectively support the crime investigation Fuzzy based binary feature profiling (BFPM) for modus operandi analysis is one An actual crime data set was used in testing the performance of the newly proposed method the fuzzy based binary feature profiling for modus operandi analysis. the fuzzy based binary feature profiling for modus operandi analysis. types, subtypes, crime flows and the special category in Table 1, it results in 21-bit feature The method was tested with a crime data set obtained from Sri Lanka Police. Table 6 Results returned by the fuzzy based binary feature profiling for the modus operandi analysis proposed method on the crime data set. Figure 12 ROC curves returned by the newly proposed method on the 20 classes of crime data set. As the newly proposed method accepts only binary input variables, the data sets which	./cache/work_3qibjvwhv5hrzhnlia3sdxdgvq.pdf	./txt/work_3qibjvwhv5hrzhnlia3sdxdgvq.txt