Research of Spam Filtering Based on Bayesian Algorithm

摘要：

E-mail is the most commonly used network application which has become an important way of network communication.The research of content-based spam filtering technology is a key problem of the Internet security field.The paper described a spam filtering which was based on the Na?ve Bayesian algorithm and designed a spam filtering model based on the na?ve Bayesian algorithm. The paper carried out an experiment on the Ling-spam Corpus with VC 6.0 platform,and got a higher accuracy and recall rate.

关键词： na?ve bayesian spam filter information gain feature extraction

作者: Yishan Gong Qiang Chen

作者单位: Shenyang University of Technology Foreign Language Institute Shenyang China Shenyang University of Technology Graduate Institute Shenyang China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 678-680

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）