Spam Recognition Based on Bayesian Classification

Abstract

Based on Bayesian classification algorithm principle and implementation, propose an improved method of the algorithm. Firstly, instead of constant probability of spam, actual priori probability is used. Secondly, the selective range and rule of token is improved. Finally, add URLs and images into detection content. A mail recognizer based on improved Bayesian classification is designed. The experiment result shows that the improved Bayesian classification algorithm works well in practice.