On Using SVM and Kolmogorov Complexity for Spam Filtering
Sihem Belabbès, Gilles Richard · 2008
As a side effect of e-marketing strategy the number of spam e-mails is rocketing, the time and cost needed to deal with spam as well. Spam filtering is one of the most difficult tasks among diverse kinds of text categoriza-tion, sad consequence of spammers dynamic efforts to escape filtering. In this paper, we investigate the use of Kolmogorov complexity theory as a backbone for spam