Web數(shù)據(jù)挖掘及其在信息監(jiān)控中的應(yīng)用研究.pdf

1、大連海事大學(xué)碩士學(xué)位論文Web數(shù)據(jù)挖掘及其在信息監(jiān)控中的應(yīng)用研究姓名：劉慧申請學(xué)位級別：碩士專業(yè)：計(jì)算機(jī)技術(shù)指導(dǎo)教師：蔣波張偉豐20070901英文摘要ThestudyandApplicationofWebDataMiningUsinginInformationMonitorSystemAbstractThisthesisiscomposedaccordingtotherealexperienceduringthenetinformat

2、ionmonitorsystemisdevelopedfornetinformationmommrsections晰也thegrowthofWebinformationtheharmfulinformationisspeeding叩tooInordertosolvetheproblemurgentlyforinformationmonitorsccqcions，itisnecessarytobuildamomtorsystemthatc

3、allbeusedtoscarchtheharmfulinformationavailablyinwebpagesandtocleanupthe刪environmentqulcHy皿erelatedtechniquesandmethodsthatc雒beusedfordesigninganddevelopinganetinformationmonitorsystema塢discusseddeeplyinthisthesisBasedon

4、analyzingtheshortageoftheexistinginformationretrievaltools，somedataminingtechniqueswhichareusedtosearchthewebinformationarediscussedinthisthesisThensometechniquesandmethodsofcoUcctingwebinformationstoringwebinformationbu

5、ildingtextcategorizationmodelfilteringtheharmfulinformationaccordingtothetextcategorizationmodel仃ainingthete)ctcategorizationmodeltobeimprovedandsoona咒discussedindetailinthisthesisAndthenthePageRankalgorithmwhichisusedin

6、thewebstructuremining，thetextcategorizationmodelincludingChinesedepartingwordsvectorspacemodel，supportingvpJ2tDrmethodwhichisusedintextmiIling，theKNNmethodwhichisusedinthete賦鋤lt【H斌eg講iz頡onalgorithma托alsodiscusseddeeplyFi

7、nallyasanapplicationexampleanactualsystemisbuiltandtheresultofrnulngthesystemisalsodiscusedindetailAsamatteroffactthemeRIISandwayswhichareputforwardinthisthesisareveryviableItc紐improvetheabilityofsearchingharmfulinformat

8、ioninhighprecisionandrecall，anditcanbealsopopularizedtootherareastodiscoverotherwebinformationanditwillalsomakewebdataminingtechniqueshavemofcandmoreusefulfunctionsKeyWords：DataMining；TextMining；InformationRetrieval；Text