基于贝叶斯分类的邮件过滤系统研究与实现  

Research and implementation of spam filtering system based on Bayesian classification

作　　者：林伟[1] 

机构地区：[1]四川警察学院计算机系,四川泸州646000

出　　处：《陕西理工学院学报（自然科学版）》2012年第4期36-40,共5页Journal of Shananxi University of Technology:Natural Science Edition

基　　金：四川省青年软件创新工程基金资助项目(2007AA42)

摘　　要：电子邮件的普及给人们的生活带来极大的方便,但目前垃圾邮件的泛滥严重影响了用户的正常使用。贝叶斯算法因简单在英文邮件过滤中取得了良好的过滤效果,分析了贝叶斯算法的原理及其在垃圾邮件过滤中的应用,给出垃圾邮件过滤的整个过滤流程,设计并实现了一种语言无关的垃圾邮件过滤系统。E-mail′s popularity brings convenience of people′s lives.But now the spread of junk mails seriously affects the normal use of the user.Bayesian algorithm for simple and good filtering in English mail filtering shows its good effects.In this paper the Bayesian algorithm principle and it′s application in spam filtering were analyzed,and the spam filter the filtering process was given.Also,a language unrelated spam filter system was designed and implemented.

关 键 词：贝叶斯算法 垃圾邮件 邮件训练 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]