The filtering technology of spam based on Re-Study Bayes arithmetic

Email has been one of the most important communication tools in modern society. Email spam has been around for more than a decade and its quantity greatly exceeds the ham. How to prevent spam spreading becomes an important problem and the anti-spam technology has become a hotspot both in research and industry area. This paper proposes a Re-Study Bayes method which uses information gain(IG) to calculate email characters and updates the characters set by re-study mode. By this method, the feature dimension is reduced, while the efficiency of extracting characteristics is highly improved. And the experiment in this paper gets more accurate results than previous methods.