Personalized Spam Filtering Based on Naive Bayes Algorithm
Junchang Zhai · Journal of Changchun Normal University · 2009
E-mail is widely used all over the world recently.At the same time,junk e-mail problems also arise.In order to deal with the spam,from the users point of interest,the paper was based on the naive Bayesian algorithm for personalized spam filter.In terms of probability calculation of Naive Bayes algorithm,the paper selected calculation of multi-variable model of Bernoulli event,and carried out an experiment on the Ling-Spam Corpus with VC ++6.0 platform.