Research and Design of a Spam Filtering System Based on Statistical Learning Theory
Xia Ji · Computer Technology and Development · 2008
Classification is one of the most important research fields in data mining and machine learning.In recent years,there have been extensive studies and rapid progresses in automatic text categorization.Proposes a SVM text categorization on the basis of statistic theory,and designs a corresponding spam email filtering system.Compared with the naive Bayes,the validity of this system is proved.At last some future directions of the research are given.