A Way to Filter Junk Mail Intelligently Based on Multi-Bayesian Networks
Feng Han · 2004
Discussing some problems in filtering junk mail with Bayesian networks, a new way for filtering junk mail intelligently based on multi-Bayesian networks is proposed. Multi-classifiers are come from multi-Bayesian networks and mail is processed by Multi-classifiers. A mail is judged Spam if and only if every judging result is Spare. This idea and critical value can reduce the error probability of classifying. The adopted dynamic learning is introduced in the new method that is the multi-classifiers can be supplemented training examples so that satisfy different demand.