The Research of NB-based DLB Classification Anti-spam
Jia Chen · 2006
Classification method using Naive Bayesian(NB)classifier model which is the context-based spare filter meth- od,is a hot point.The Naive Bayesian classifier is a simple and effective classification method,but its attribute inde- pendence assumption makes it unable to express its semantic dependence.A new classification model is proposed which we call Double Lever Bayes classifier model(DLB).It considers not only the semantic dependence but also the simple and effective which is the excellence of NB classifier model.The performance is also compared between DLB and NB. The conclusion we get from experiment is that the performance using DLB classifier model is better than which using NB classifier model.