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基于贝叶斯分类的邮件过滤系统研究与实现
引用本文:林伟.基于贝叶斯分类的邮件过滤系统研究与实现[J].陕西理工学院学报(自然科学版),2012,28(4):36-40.
作者姓名:林伟
作者单位:四川警察学院计算机系,四川泸州,646000
基金项目:四川省青年软件创新工程基金资助项目
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。

关 键 词:贝叶斯算法  垃圾邮件  邮件训练

Research and implementation of spam filtering system based on Bayesian classification
LIN Wei.Research and implementation of spam filtering system based on Bayesian classification[J].Journal of Shananxi University of Technology:Natural Science Edition,2012,28(4):36-40.
Authors:LIN Wei
Institution:LIN Wei(Department of Computer Science,Sichuan Police College,Luzhou 646000,China)
Abstract: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.
Keywords:Bayesian algorithm  spam  mail training
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