Minimizing Cost Filtering Algorithm for Spam E-mail Based on Bayesian
Yibin Zhang · Modern Electronics Technique · 2006
To minimize the cost of wrong report rate that mistake the legal mails as spam and missing report rate that mistake the spam as legal mails,first a new evaluation function which based on existing evaluation function of text feature extraction: expectation cross entropy and mutual information is brought forward in this paper.Using this function,we can get more representational eigenvector from email.And then this paper presents a minimizing cost anti-spam filtering algorithm based on Bayesian.After some simulation tests,it found that new algorithm based on new evaluation function can cut down wrong report rate and missing report rate efficiently.