Combined spam filter with bayesian filter and SVM filter
Ayahiko Niimi, Hirofumi Inomata, Masaki Miyamoto, Osamu Konishi · 2006
Abstract. In this paper, the system that classified spam mail and other mail(regular mail) was constructed by two filters with Bayesian theory and SVM(Support Vector Machine) used well by the text classification task as a text classification algorithm. It was confirmed to evaluate the performance of the spam filter constructed by Bayesian theory and SVM, and to show a high reproduction ratio and a high relevance ratio. More-over, the URL pre-fetch method was built into Bayesian spam mail filter, and the relevance ratio was able to be improved. We proposed the spam filter system by the combination of some filters, and discussed the system that added URL pre-fetch method to Bayesian spam filter and the SVM filter. 1