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《Journal of Harbin University of Science and Technology》 2012-01
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Simple Weighted Bayesian Algorithm with Minimal Risk Probability of Lucene

DENG Chun-wei,SHI Huan-qing(Huarui College,Northeast Petroleum University,Harbin 150027,China)  
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.
【Fund】: 黑龙江省教育厅科学技术研究项目(11544004)
【CateGory Index】: TP393.098
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