Research of spam filtering based on Bayesian algorithm
Yishan Gong, Qiang Chen · 2010
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 Naive Bayesian algorithm and designed a spam filtering model based on the naive 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.