An email classification model based on rough set theory
Zhao, Wenqing and Zhang, Zili 2005, An email classification model based on rough set theory, in Proceedings of the 2005 International Conference on Active Media Technology : (AMT2005) : May 19-21, 2005, Kagawa International Conference Hall, Takamatsu, Kagawa, Japan, IEEE Xplore, Piscataway, N.J., pp. 403-408.
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Proceedings of the 2005 International Conference on Active Media Technology : (AMT2005) : May 19-21, 2005, Kagawa International Conference Hall, Takamatsu, Kagawa, Japan
Tarumi, H. Li, Y. Yoshida, T.
Active Media Technology Conference
Place of publication
The communication via email is one of the most popular services of the Internet. Emails have brought us great convenience in our daily work and life. However, unsolicited messages or spam, flood our email boxes, which results in bandwidth, time and money wasting. To this end, this paper presents a rough set based model to classify emails into three categories - spam, no-spam and suspicious, rather than two classes (spam and non-spam) in most currently used approaches. By comparing with popular classification methods like Naive Bayes classification, the error ratio that a non-spam is discriminated to spam can be reduced using our proposed model.
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