Classifying email using variable precision rough set approach

Authors:
Wenqing Zhao;Yongli Zhu
Affiliations:
School of Computer Science and Technology, North China Electric Power University, Baoding, P.R. China;School of Computer Science and Technology, North China Electric Power University, Baoding, P.R. China
Venue:
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Year:
2006

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Review:

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Abstract

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