Mail Filtering Algorithm Based on The Feedback Correction Probability Learning

摘要：

　　With the popularity of the Internet,e-mail with its fast and convenient advantages has gradually developed into one of the important communication tools in peoples lives.However,the problem of followed spam is increasingly severe,it is not only the dissemination of harmful information,but also waste of public resources.To solve this problem,the author proposed a mail filtering algorithm based on the feedback correction probability learning.The feedback correction probability training has less feedback learning data and use error-driven training in order to achieve a high classification effect.The experiment also tested the idea.

关键词： The feedback Probability learning Spam Probability

作者: Zou Xiao Yun

作者单位: hubei polytechnic institute

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1767-1769

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）