Spam filtering model research based on advanced Nave bayes
HE Ju-hou · Computer Engineering and Applications Journal · 2007
The widely used Nai.ve Bayes Filtering(NBF) model in spam filtering is analyzed and the shortcoming of Expected Cross Entropy(ECE) method which is used for feature selection is pointed out.Using the weighted-feature method to improve NBF's filtering effect during classification,the paper puts forward the Advanced Nai.ve Bayes Filter(A-NBF).The test result demonstrates that A-NBF has better performance than NBF.