A study on algorithm of secret-involved mails statistic classification based on least risk Bayesian
Xing Li · JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING · 2008
According to the accuracy and efficiency of the statistical classification methods about secret-involved mails, a least risk Bayesian algorithm was proposed. The algorithm was applicable to the statistical classification of secret-involved mails. The principle of the classification was to minimize the risk. With the training set of the e-mails,this algorithm could learn adaptively the minimized risk of secret-involved mails, and get the minimal risk by scanning the sensitive mails. Meanwhile, based on the minimal risk, a fast realization of Bayesian classification, which could further enhance efficiency of the algorithm, was proposed. Analysis and experiments show that the algorithm is accurate, efficient, and quite adaptive to the problems.