An Algorithm of Filtering Junk Mails Based on Cognition-Learning and Minimum Risk Nave Bayes
Li Wen · Acta Simulata Systematica Sinica · 2004
A new expression of Email vectors in super-high dimensional vectors space, and an innovative algorithm of filtering junk-mails based on the consideration of risks of false discretion are proposed in this paper, which can minimize the risks of mail filtering by imitating the cognition learning process of human beings, and combining the method of systems classification and users discretion. Experiment results show that the new algorithm can achieve satisfying performances in the mail filtering applications.