Machine Learning Methods for Spam E-Mail Classification

W.A Awad
2011 International Journal of Computer Science & Information Technology (IJCSIT)  
The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Machine learning techniques now days used to automatically filter the spam e-mail in a very successful rate. In this paper we review some of the most popular machine learning methods (Bayesian classification, k-NN, ANNs, SVMs, Artificial immune system and Rough sets) and of their applicability to the problem of spam Email classification. Descriptions of the algorithms are
more » ... he algorithms are presented, and the comparison of their performance on the SpamAssassin spam corpus is presented.
doi:10.5121/ijcsit.2011.3112 fatcat:vklbor63l5fuxlw77a6lhld2i4