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1、机器学习大作业基于机器学习的主题Web挖掘技术（英文报告）TheTechnologyofTopicalWebMiningBasedonMachineLearningThisarticlestudiesandanalysesWebMiningandMachineLearning.MachineLearningisanimportantbranchofthefieldofartificialintelligence．ThispaperpresentsthemodelofMachineLearning,classification
2、，andthedevelopmentprocess。Meanwhile，№chineLearninginthefieldofWebMiningapplicationisdescribed．ThecalculationofWebpage’sauthorityradioisanimportantissueforWebMining．BasedontheHITSalgorithm,weadvanceanewalgorithmforcalculatingtheimportance—theWHITSalgorithmKeylrords：
3、A:WebMining;B:MachineLearning;A:HITSIntroduction: Withtherapidgrowthofonlineinformationresources,peopleareincreasinglyconcernedabouthowquicklyandefficientlyfromthemassNetworkinformation,andaccesstopotentiallyvaluableinformation,makingiteffectivelyplayaroleintheman
4、agementanddecision-makingWith.Butwhenusersfacethismassive,heterogeneous,semi-structuredrepositoryofinformation,whichisoftenfoundtobesearchedInformationrequiredtospendalotoftimeandeffort,andevenhardertofind,resultingin"informationoverload,knowledgeKuiLack"phenomenon
5、.ThemeWebmininginrecentyearshasbeentheriseofaresearchtopicofwidespreadconcern,whichutilizesthedistributioncharacteristicsofthethemepageontheWeb,accordingtouserorsystem-definedtargettheme,intelligentwaytocrawlWebpagesonline,withthegoalofcollectingtopicsrelatedpages,
6、andpagescollectedintelligentanalysisandprocessing,andfinallyacollectionofpagesprocessedtoprovideaflexibleandconvenientwayforuserstoretrieveresearchresultsshowthatmanyprojects,themesWebminingmethodcantopicsrelatedtomaintainingahighdegreeofaccuracyimprovesquery,which
7、istoimprovetheefficiencyofuserqueries,providesanewresearchdirection.1Introduction1.1BackgroundWiththerapiddevelopmentoftheInternet(Internet),theimpactonournetworkhasbeengrowing,becominganecessarywaypeoplegetinformationandimportantmeans.AndthefastestgrowingonlineWWW
8、(WorldWideWeb)technology,withitsintuitive,easytouseandrichexpressivepower,hasbeendevelopedintoaglobalinformationspacefordevelopment.Withtheadvent
