Improved probability-based Bayesian anti-spam mechanism
Xue Zhengyuan · 2013
This paper confers in depth to the limitations of the traditional Bayesian anti-spam mechanism.It seldom thinks about whether the threshold is suitable or not,so the recalling is reduced.Aiming at this question,the paper proposes a lower-error policy decision based on chance variable;and considering the particularity of email classification,a lower-risk policy decision based on chance variable is proposed.The experimental results show that the former one maybe a better way to classify the common text;and the latter one makes better performance on recalling and F value when dealing with emails,at the same time it keeps a lower risk of error judging.