Research on the Improved Frequent Predicate Algorithm in the Data Mining of Criminal Cases

摘要：

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.

关键词： data mining multi-dimensional association rules improved Aprior algorithm criminal cases

作者: Wang Chunyu Wang Xuehua Zhang Xujuan

作者单位: Department of Management Dalian University of Technology

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1531-1535

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）