An Improved Bayesian Algorithm for Filtering Spam E-Mail

Abstract

With the wide application of E-mail, unsolicited bulk email has become a major problem for E-mail users. In order to reduce the influence of spam false negative result, an improvement solution based on the traditional Bayesian algorithm is proposed, in which the loss factor is introduced to evaluate the risk of spam false negative rate. At last, the experimental result indicates that the improved Bayesian algorithm can reduce the false negative error rate when filtering spam E-mail, and get more desirable recall ratios and precision ratios.