【作者】 徐伟； 张军；

【Author】 XU Wei, ZHANG Jun (Hubei Police Officer Colege,Wuhan, 430034, China)

【机构】 湖北警官学院信息技术系； 湖北警官学院学生工作处；

【摘要】 利用关联规则进行数据挖掘的一个重要方法是Apriori算法,在具体应用中我们对它进行了一些优化,但是,由于公安业务的特殊性,使得Apriori方法在公安犯罪行为分析中存在的一些固有的缺陷还是无法克服。主要体现在两个方面,一是对新型犯罪行为敏感性不高;二是对犯罪行为进行分析时往往很容易忽略了那些情节特别严重,社会危害特别大的恶性犯罪行为。本文主要是基于这两点提出一种优化的挖掘算法。更多还原

【Abstract】 Apriori algorithm is an important method of data mining based on the association rule. In concrete application, we optimized it. But due to the specialty of police application, there have many difficulties to overcome the existing limitations in the analysis of criminals’ behavior. Such difficulties are the following: 1) the sense of new criminal behavior is low; 2) The severer scenes (for example, the malign criminal behavior) are often to be omitted in the analysis of criminal behavior. This paper proposed a optimized data mining algorithm based on the above mentioned two points.更多还原