Simple Weighted Bayesian Algorithm with Minimal Risk Probability of Lucene
Shi Huan-qing · Harbin Ligong Daxue xuebao · 2012
In order to improve the accuracy of spam filtering and analyze the spam data,on the basis of the comparison between information retrieval and information filtering,the relationship between the information retrieval Lucene application framework to spam filter system is put forward,and minimum risk probability weighting simple Bayesian algorithm is combined with minimal risk,effectively reducing the Bayesian method of independence constraint.Experimental results verify that the weighted naive Bayes algorithm is effective.