Spam filtering based on improved Nave Bayes and BP neutral network
Fang Tian Ying · Journal of Lanzhou University of Technology · 2011
Different users may have different judgment upon the spam.Considering that the spams judged by the same user may have higher similarity,a spam filtering method specially made for a specific user was presented.Besides the emphatic utilization of the e-mail text information,the sender's information,cluster-sending information and topic similarity information were also tried to join in the system.The Nave Bayes formula was improved to calculate the probability of the e-mail text.A spam judging system based on the BP neutral network was constructed,also.Experiment showed that it was feasible to use the improved Nave Bayes formula in the system presented.The spam filtering system based on BP neural network could effectively integrate the above-mentioned four informations and globally judge the spam bringing a better effect to specific user's e-mail.