DocumentCode
2702311
Title
Research on the improved frequent predicate algorithm in the data mining of criminal cases
Author
Chunyu, Wang ; Xuehua, Wang ; Xujuan, Zhang
Author_Institution
Dept. of Manage., Dalian Univ. of Technol., Dalian
fYear
2008
fDate
20-23 June 2008
Firstpage
1531
Lastpage
1535
Abstract
In order to find out the common features and general patterns in criminal cases, a new improved frequent predicate algorithm was proposed, with which multi-dimension association rules were drawn according to the minimum support and minimum confidence. This new algorithm was applied in the data mining model of criminal cases of Dalian Municipal Public Security Bureau.
Keywords
criminal law; data mining; law administration; local government; public administration; Dalian Municipal Public Security Bureau; criminal cases; data mining; frequent predicate algorithm; multidimension association rules; Association rules; Automation; Conference management; Data mining; Data security; Frequency; Iterative algorithms; Spatial databases; Technology management; Testing; criminal cases; data mining; improved Aprior algorithm; multi-dimensional association rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-2183-1
Electronic_ISBN
978-1-4244-2184-8
Type
conf
DOI
10.1109/ICINFA.2008.4608246
Filename
4608246
Link To Document