贝叶斯技术在反垃圾邮件系统中的研究应用  

Research and Application of Bayesian in Anti-Spam System

作　　者：甘宏[1] 潘丹[1] 

机构地区：[1]广州城建职业学院,广东广州510925

出　　处：《科技广场》2009年第11期24-26,共3页Science Mosaic

摘　　要：基于贝叶斯方法在垃圾邮件处理上具有速度快、准确率高的优点,基于贝叶斯分类的垃圾邮件分类方法受到广泛的关注。我们主要研究制约中文邮件过滤效果的中文分词方法,比较基于统计的多种方法,并根据需要对其中几种算法进行改进。Bayesian technology has high speed and high nicety rate in dealing with junk mail, therefore Anti-Spam based on Bayesian has been widely paid attention. The emphases of text is reseatching Chinese participial ways of restricting Chinese mail filtration effect, comparing multi-ways based on statistic and improving some arithmetic on demands.

关 键 词：贝叶斯技术 垃圾邮件 分布式过滤 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]