计算机技术与发展2011，Vol.21Issue(9)：242-244,249,4.
一种基于成词概率的贝叶斯垃圾邮件过滤方法
A Bayesian Spam Filtering Method Based on Words Probability
摘要
Abstract
Bayesian classification method bas expressed high accuracy in English mails filtration, but the performance was not good under Chinese environment. It has taken the words probability as the foundation of the feature selection, the candidate feature sets were formed through the construction method, then use information gain to evaluate the relationship between feature and class,choose the n-larger information gain features as the final feature vector space. Based on this, the mails were classified by Bayesian method. Experimental verification shows this method surpassed the tradition method which based on the mechanical participle of the Bayesian theorem in the classified time and the classified effect.关键词
垃圾邮件/成词概率/贝叶斯方法Key words
spam/words probability/Bayesian method分类
信息技术与安全科学引用本文复制引用
林伟..一种基于成词概率的贝叶斯垃圾邮件过滤方法[J].计算机技术与发展,2011,21(9):242-244,249,4.基金项目
四川省青年软件创新工程基金(2007AA42) （2007AA42）
