Classifying email using variable precision rough set approach

被引：0
|
作者：
Zhao, Wenqing [1 ]
Zhu, Yongli [1 ]
机构：
[1] N China Elect Power Univ, Sch Comp Sci & Technol, Baoding 017003, Peoples R China
来源：
ROUGH SETS AND KNOWLEDGE TECHNOLOGY, PROCEEDINGS | 2006年 / 4062卷
关键词：
spam; classification; junk mail; rough set; information filtering;
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：
Emails have brought us great convenience in our daily work and life. However, Unsolicited messages or spam, flood our email boxes, viruses, worms, and denial-of service attacks that cripple computer networks may secret in spam. which result in bandwidth, time and money wasting. To this end, this paper presents a novel schema to do classification for emails by using Variable Precision Rough Set Approach. By comparing with popular classification methods like Naive Bayes classification, our anti-Spam filter model is effectiveness.
引用
收藏
页码：766 / 771
页数：6
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