Research in Anti-Spam Method Based on Bayesian Filtering

被引：0

作者：

Wu, Jiansheng ^{[1
]}

Deng, Tao ^{[1
]}

机构：

[1] Liaoning Univ Sci & Technol, Sch Engn & Comp Sci, Anshan 114051, Liaoning, Peoples R China

来源：

PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Study on content-based spam filtering is one of the important topics in the Internet security research area. And Bayesian classification method has expressed better performance on anti-spam. An improved new method that classifies spam filtering based on Bayesian filtering is proposed in this paper. The experiment results show that the new method has improved spam recall and spam precision.

引用

页码：1838 / 1842

页数：5