Spam filter based on incremental Bayes arithmetic
Hanbing Yan, Yashu Liu · 2011
With the development of Internet, Email has become an important interaction manner. At the same time, spam becomes a boring thing in our life, and people pay more and more attention to spam filter. In this paper, we propose a method that uses N-Gram to calculate characters and uses χ2statistical method to extract characters, and then uses incremental Native Bayes arithmetic to hold up spam. In order to arise accuracy we use the filter method over and over again. The experiments show that our method is very effective, which greatly raises the accurarcy while keeping a minor error ratio.