A Research of Spam Identification and Its Disposal Scheme

摘要：

This paper presents a new Bayesian trigram model for filtering and identifying spam. On the basis of the low false positive rate, its Identification rate and accuracy are largely improved compared with the general Bayesian model. The article first explains the principle and realization of Bayesian trigram model.Then points out the advantages of it by comparing with the Bayesian model.

关键词： bayes spam corpus Identification

作者: FANG Fei-fei QU Liang-bo

作者单位: Computer Engineering School, Qingdao Technological University, Qingdao.China Computer Engineering School,Qingdao Technological University, Qingdao.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: 264-267

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）