Research and improvement of spam filter technology based on Bayesian
Fang Yao · Journal of Yanshan University · 2009
With the application and popularization of e-mail,people pay more and more attention to the proliferation of spam. This article gave a detailed description on spam filter technology based on Bayesian and its key principles. As to the naive Bayesian filtering model,for its simplistic classification of information and low accuracy rate,the paper utilized the classification minimum risk algorithms and a kind of hybrid estimate model to improve the Bayesian filters respectively. Finally it completed the experimental verification. Experimental results demonstrate that the improved Bayesian filter has a better effect.