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基于Naive Bayesian算法的客户端邮件过滤器的实现
引用本文:左瑞欣,徐惠民,吴聪聪.基于Naive Bayesian算法的客户端邮件过滤器的实现[J].计算机工程与设计,2006,27(7):1161-1163.
作者姓名:左瑞欣  徐惠民  吴聪聪
作者单位:1. 石家庄经济学院,信息工程学院,河北,石家庄,050031
2. 北京邮电大学电信工程学院,北京,100876
基金项目:石家庄经济学院校科研和教改项目
摘    要:“垃圾”邮件是Internet上面临急待解决的问题.Naive Bayesian过滤器由于其简单高效性在文本分类中应用较广,重点研究了Naive Bayesian算法,给出了一个“垃圾”邮件过滤器,依据邮件的内容而不是通过设置规则来过滤邮件,并通过实验论证了它在客户端过滤邮件的可行性和有效性.

关 键 词:"垃圾"邮件  特征抽取  向量空间模型  文本分类  NaiveBayesian过滤器
文章编号:1000-7024(2006)07-1161-03
收稿时间:2005-01-26
修稿时间:2005-01-26

Realization of naive bayesian anti-spam filter running at user level
ZUO Rui-xin,XU Hui-min,WU Cong-cong.Realization of naive bayesian anti-spam filter running at user level[J].Computer Engineering and Design,2006,27(7):1161-1163.
Authors:ZUO Rui-xin  XU Hui-min  WU Cong-cong
Affiliation:1. College of Information Engineering, Shijiazhuang University of Economic, Shijiazhuang 050031, China; 2. College of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract:Unsolicited bulk email(spam) is a major problem on the internet.Naive bayesian filter has more widely been used in the area of text classification for the simple method and high efficiency.A naive bayesian filter according to mail content rather than some simple rules to filter incoming mails is proposed.Empirical results validate the filter is appropriate for filtering at user level.
Keywords:spam  feature extraction  vector space model  text classification  naive bayesian filter
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