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一种复合的双引擎智能垃圾邮件过滤方法
引用本文:周永,陈咏章,张伟文.一种复合的双引擎智能垃圾邮件过滤方法[J].计算机应用研究,2008,25(1):268-267.
作者姓名:周永  陈咏章  张伟文
作者单位:重庆大学,计算机学院,软件技术实验室,重庆,400044
摘    要:研究了几种常用的垃圾邮件过滤算法,分析了这几种方法在邮件过滤应用中各自的优缺点.根据这几种算法的优缺点,对它们进行改良与结合,并增加了通过查看发出的邮件内容进行自动学习的机制;同时针对中英文垃圾邮件采用不同的学习算法,从而建立一个适用中英文环境的垃圾邮件过滤方法.实验表明,该方法的效率和性能达到了较好的水平.

关 键 词:垃圾邮件  正常邮件  黑白名单  规则  贝叶斯过滤算法
文章编号:1001-3695(2008)01-0268-03
收稿时间:2006-10-14
修稿时间:2006-12-29

Intelligent and integrated method of spam filtering with double engines
ZHOU Yong,CHEN Yong zhang,ZHANG Wei wen.Intelligent and integrated method of spam filtering with double engines[J].Application Research of Computers,2008,25(1):268-267.
Authors:ZHOU Yong  CHEN Yong zhang  ZHANG Wei wen
Abstract:This paper studied several popular algorithms for spam filtering. All of them had different advantages and disadvantages: some good at Chinese, and some good at English. By integrating and improving these algorithms, presented an intelligent method of spam filtering. This method utilized the advantages of previous algorithms and avoided their shortages. Moreover, it also added an intelligent mechanism which could self study by using the contents of the emails. Finally, it is found that this algorithm do well in the real environments.
Keywords:spam mail  ham mail  white and black lists  rules  Bayesian filtering
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