%0 Journal Article
%T Clustering-Based Email Filtering Method with Hazy Category<br>基于聚类的类别模糊邮件过滤方法
%A LANG Jia-Yun
%A HU Xue-Gang
%A <br>郎加云
%A 胡学钢
%J 计算机系统应用
%D 2010
%I 
%X Presently, a variety of rule-based classification methods in e-mail filtering obtain good results. In the training of e-mail filtering, the training set has the notion that some e-mail messages will be sent to the hazy category. Extracting these e-mails from training set will have a noticeable increase in the results of classification. Therefore, a clustering-based filtering method is proposed in this paper. The common features of the hazy-category email include cluster the training set. Experiments demonstrate that the method has better performance on the appraisal standard than that of a simple rule-based classification algorithm.
%K clustering
%K text categorization
%K spam<br>聚类
%K 文本分类
%K 垃圾邮件
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=DDF97890A238DC96060B3B7A28540F5C&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=9CF7A0430CBB2DFD&sid=2922B27A3177030F&eid=2DBBF45CC176713E&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=4