朴素贝叶斯算法在反垃圾邮件系统中的应用  

Naive Bayes Algorithm in The Anti-spam System

作　　者：欧阳峥峥[1] 丰洪才[1] 

机构地区：[1]武汉工业学院,湖北武汉430023

出　　处：《计算机安全》2008年第4期32-33,40,共3页Network & Computer Security

摘　　要：在进行文本信息的分类中,通过朴素贝叶斯算法对邮件进行分类是一种简单有效的方法,朴素贝叶斯在分类时假设属性之间条件独立,降低了复杂度。该文结合应用实例,给出了朴素贝叶斯算法在反垃圾邮件中的分类原理,达到了智能动态过滤垃圾邮件的效果。The classification of information in text, through the mail Naive Bayesian classification algorithm is a simple and effective method, in the simple Bayesian classification attributes assumed conditions between independent and reduce the complexity. Combined Application examples are given Naive Bayes algorithm in the classification of spam in principle, to dynamic intelligent spam filtering effect.

关 键 词：贝叶斯 垃圾邮件 哈希表 

分 类 号：TP393.098[自动化与计算机技术—计算机应用技术] TP393.08[自动化与计算机技术—计算机科学与技术]