基于贝叶斯算法的垃圾邮件过滤研究  

A Study of Based Bayesian Approach for Spam Filtering

作　　者：何培舟[1] 何鹏[1] 温向明[1] 

机构地区：[1]北京邮电大学通信网络综合技术研究所,北京100876

出　　处：《微计算机应用》2008年第8期7-10,共4页Microcomputer Applications

基　　金：国家自然科学基金(60743007);北京市教育委员会共建专项资助(XK100130648)

摘　　要：大量垃圾邮件的出现给用户收发电子邮件带来极大困扰。贝叶斯算法由于在垃圾邮件处理上表现出很高的准确度,因此受到了广泛关注。本文介绍了贝叶斯算法的理论依据,分析了贝叶斯算法的优缺点,总结了贝叶斯的相关改进算法,最后对贝叶斯算法进行了总结和展望。The emergence of a sea of spam makes the users in great trouble collecting the e - mail. The Bayesian approach has expressed high accuracy. This paper presents the basic theory of Bayesian approach in detail, and analyzes the advantage and disadvantage of Bayesian approach. Then, improved Bayesian approach is described in this paper. Finally, this paper brings forth the conclusion and expectation of Bayesian approach.

关 键 词：贝叶斯 垃圾邮件 垃圾邮件过滤 

分 类 号：TP393.098[自动化与计算机技术—计算机应用技术]