A Bayesian Spam Filtering Method Based on Words Probability
Lin Wei · Computer Technology and Development · 2011
Bayesian classification method has expressed high accuracy in English mails filtration,but the performance was not good under Chinese environment.It has taken the words probability as the foundation of the feature selection,the candidate feature sets were formed through the construction method,then use information gain to evaluate the relationship between feature and class,choose the n-larger information gain features as the final feature vector space.Based on this,the mails were classified by Bayesian method.Experimental verification shows this method surpassed the tradition method which based on the mechanical participle of the Bayesian theorem in the classified time and the classified effect.