Improved Bayesian mail filtering algorithm based on slipping window
Bei Dong · Journal of Chongqing University of Posts and Telecommunications · 2006
In text classification,Bayesianalgorithmneeds feature selection,but the traditional feature selection algorithmis not accurate enough,which affects classification precision.To order to resolve the problem,a new improved bayes algorithm based on slipping window method is proposed.The algorithm can extend the character's number to improve the efficiency.Experimental results showed that our algorithm performed more efficienthy than the traditional methods in classification precision.