Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2008-06-20

Included Journals: Scopus、CPCI-S、EI

Page Number: 1531-1535

Key Words: data mining; multi-dimensional association rules; improved Aprior algorithm; criminal cases

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.