Improving Accuracy of Spam Detection

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    摘要 Spam,theelectronicequivalentofjunkmail,affectsover600millionusersworldwide.Themassiveincreaseofspamisposingaveryseriousthreattoemailwhichhasbecomeanimportantmeansofcommunication.Notonlydoesitannoyusers,butitalsoconsumesmuchofthebandwidthoftheInternet.Evenasanti-spamsolutionschangetolimittheamountofspamsenttousers,thesendersadapttomakesuretheirmessagesareseen,whilespamreorganizationhasdifferentpropertiescomparingwithnormaltextreorganization.Presentedarethreedifferentclassifiersarecombinedwithdetailedanalysisonvarioustrainingdatasetofthegivenspamdatabase.Theseclassifiersarecombinedintoamixtureofexperts(MOE)systemwhichyieldsoverallbetterperformancethananyoftheindividualcontributors.Theinstructionsforfurtherimprovementsonclassifiersaswellasitsrequirementonspamdatabasesarealsogiven.
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    出版日期 2008年02月12日(中国Betway体育网页登陆平台首次上网日期,不代表论文的发表时间)
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