An Algorithm of Filtering Junk E-mail based on Cognition-Learning Bayes

A new algorithm of filtering junk-mail based on the Cognition-Learning Bayes is proposed in this paper, which can improve the accuracy of mail filtering conspicuously by using Cognition-Learning Bayes method to assure that the category’s feature vector will always stand for it´s real features. The experimental result shows that the new algorithm gains obviously high precision and recall, and is a promising method for filtering junk mail.