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http://dx.doi.org/10.3745/KIPSTC.2006.13C.6.733

Spam Message Filtering with Bayesian Approach for Internet Communities  

Kim, Bum-Bae (성균관대학교 컴퓨터공학과)
Choi, Hyoung-Kee (성균관대학교 정보통신공학부)
Publication Information
The KIPS Transactions:PartC / v.13C, no.6, 2006 , pp. 733-740 More about this Journal
Abstract
Spam Message has been Causing widespread damages on the Internet. One source of the problems is rooted from an anonymously posted message in the bulletin board in Internet communities. This type of the Spam messages tries to advertise products, to harm other's reputation, to deliver religious messages and so on. In this paper we present the Spam message filtering using the Bayesian approach. In order to increase usefulness of the Spam filter in the bulletin board in Internet communities, we made the Spam filter which can divide the Spam message into six categories such as advertisement, pornography, abuse, religion and other. The test conducted against messages posted on the popular web sites.
Keywords
Spam Message; Communitiy Spam Machine-learning Filtering Technique; Bayesian Approach;
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