基于DBSCAN算法的电子邮件地址聚类系统

E-mail address clustering system based on DBSCAN arithmetic

目前犯罪组织的严密性和隐蔽性日益增强,电子邮件的广泛应用更为犯罪分子的分散隐匿提供了便利条件。为了解决重点监控对象选择问题,设计了电子邮件地址聚类系统。系统根据电子邮件地址之间的收发关系,构建出电子邮件地址的相似度测量属性,利用基于密度聚类方法中的DBSCAN算法,对电子邮件地址关系紧密程度进行划分,找出较为活跃的电子邮件地址,缩小了电子邮件地址查阅范围,提高了电子邮件信息分析处理的针对性和有效性。

Strictness and concealment of criminality community is strengthening.Because the criminality members＇ intentionality com-municates with each other by E-mail,E-mail becomes a convenient means to keep their decentralization and hiding.An E-mail address cluster system is brought forward.According to the receiving and sending＇s contact of E-mail addresses,system creates E-mail address＇s attribute of similarity measure,then use DBSCAN algorithm,which is the one of density-based clustering methods,to classify E-mail by degree of E-mail address＇s contact,and find out the active E-mail addresses.The process minish the scopes of E-mail address that should be examined.The pertinence and validity of Email analysis are improved.