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2010 5th International Symposium on Telecommunications
The continued growth of Email usage, which is naturally followed by an increase in unsolicited emails so called spams, motivates research in spam filtering area. In the context of spam filtering systems, addressing the evolving nature of spams, which leads to obsolete the related models, has been always a challenge. In this paper an adaptive spam filtering system based on language model is proposed which can detect concept drift based on computing the deviation in email contents distribution.doi:10.1109/istel.2010.5734082 fatcat:eas6glnpnval5ji5qj4hftinni