关键词: 社区矫正, 关联分析, 异常行为分析, 决策树分析, 数据挖掘

Abstract: At present, most of the community correctional institutions have adopted the traditional methods such as manual management, lacking of effective supervision of the cross-regional movement and daily dynamic community corrections, and there are the lack of supervisors and real-time supervision problems. Based on the above problems, this paper adopts the algorithm of data association analysis, abnormal behavior analysis and decision tree analysis, making multi-dimensional data mining on the location information, case information and related behavior information of community prisoners. Community correction managers use the relevant results of the analysis to manage some work more effectively. These data analysis technologies support the development of community correction management work well.

Key words: community correction, association analysis, abnormal behavior analysis, decision tree analysis, data mining