A spam filtering algorithm based on Bayesian theory
Cheng Li · Journal of Qiqihar University · 2012
In order to reduce the appearance of spam on the server side,an e-mail system whose function of filtering and self-updating is achieved on the server-side of the system was discussed based on the Bayesian theory.The e-mail system discussed in this literature will analyze the e-mails it receives and classify them into 2 categories: legal and illegal.Ultimately,a generation of a filter using the Bayesian model was discussed.The feasibility of this model was verified and well-estimated by the operation of a simulation with real e-mails.