摘要
为了能从通讯的角度识别犯罪团伙,文章以深圳杯夏令营数学建模的数据作为研究数据,利用贝叶斯网络分类器和粗糙集模型两种方法对识别出的结果进行验证。研究结果表示:通过贝叶斯网络分类器识别出的结果和粗糙集获得结果是一致的。从而可以给公安部分侦破犯罪团伙提供参考,提高犯罪案件的侦破率。
In order to identify criminal gangs from the perspective of communication, this paper takes Shenzhen cup camp mathematical modeling data as the research data, using the rough set model and the Bayesian network classifier to identify the results of the two kinds of methods. The results of the study show to us：with Bayesian network classifier to identify the results and the rough set to obtain the result is the same. Which can provide reference to public security part of criminal gangs;improve the detection efficiency of criminal cases.
出处
《大众科技》
2014年第11期18-20,24,共4页
Popular Science & Technology
关键词
手机用户识别
犯罪团伙
贝叶斯网络
粗糙集
Identification of mobile phone users
criminal gangs
bayesian networks
rough set
