A research of spam Identification and its disposal scheme
Fei-fei Fang, Liang-bo Qu · 2010
This paper presents a new Bayesian trigram model for filtering and identifying spam. On the basis of the low false positive rate, its Identification rate and accuracy are largely improved compared with the general Bayesian model. The article first explains the principle and realization of Bayesian trigram model. Then points out the advantages of it by comparing with the Bayesian model.