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
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;
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
DOI :
10.1109/ICINFA.2008.4608246
