Feature selection approach based on Bayes reasoning in anti-spam classifier
Songhua Chen · Computer Engineering and Applications Journal · 2008
FS(Feature Selection) is a basal but crucial step within anti-spam classifiers based on ML(Machine Learning) algorithms.Nowadays FS based on Mutual Information(MI) is widely used.In this paper,by analyzing characteristic of spam emails,a new FS approach based on Bayes reasoning is presented.Experiments show that it can achieve much higher performance and efficiency than MI approach.