Analysis of Decision Tree Classification Algorithm Based on Attribute Reduction and Application in Criminal Behavior

摘要：

In this paper, the attribute reduction strategy is syncretized into classification algorithm of the decision tree and applied to criminal behavior analysis. Finding implicit knowledge in the criminal database by this method can utilized to assist making decision for police quickly and accurately. The classification algorithm of the decision tree based on rough set is proposed for multi-attribute data table. The scale of decision tree and branches is minished and the reliability is improved via attribute reduction. Successful application in the analysis of criminal behavior shows the feasibility of the algorithm.

关键词： data mining decision tree attribute reduction

作者: Wang Hui Wang Jing Zheng Tao

作者单位: National Engineer Research Center of Advanced Rolling,University of Science and Technology Beijing,B Chinese Peoples Public Security University,Beijing China, 100038

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 27-30

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）