Realization of naive bayesian anti-spam filter running at user level
WU Cong-cong · Jisuanji gongcheng yu sheji · 2006
Unsolicited bulk email(spam) is a major problem on the internet.Naive bayesian filter has more widely been used in the area of text classification for the simple method and high efficiency.A naive bayesian filter according to mail content rather than some simple rules to filter incoming mails is proposed.Empirical results validate the filter is appropriate for filtering at user level.