E-mail filtering algorithm with boundary decision rules based on rough set
Yang Yan-ya · Jisuanji yingyong yanjiu · 2015
For accuracy and stability of the spam filter is not high,and in order to solve the problem such as e-mail filtering algorithm has false negatives and false positives on the corpus classification.This paper proposed e-mail filtering algorithm with boundary decision rules based on rough set.First,it used rough set theory for direct analysis of corpus and used heuristic methods to propose three different decision rules of the rough set theory in the execution plan,making sure that when the message content was more blurred at lexical semantics,could still guarantee a certain classification accuracy.In spam classification experiments,this algorithm is compared with SVM,Ada Boost and Bayesian mail filtering algorithm,which better than the comparison algorithm on the accuracy of spam filtering.