資源描述:
《基于web數(shù)據(jù)挖掘的微博用戶的特征的研究》由會(huì)員上傳分享,免費(fèi)在線閱讀,更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。
1、西安理工大學(xué)碩士學(xué)位論文TheadvantageofWebdataminingtechnologyintheanalysisofuserbehaviorcharacteristics.Theclassificationofuserandthecharacteristicsofthedifferentusersthroughminingresearchonmicro-blogusersrelevantdataandinformation,usingk-meansclusteringalgorithmclassificationofmicro-blogusers,realiz
2、edthemodelisestablished,andaccordingtotheuserattributeminingdifferencebetweenordinaryusersandVIPusersintheirarea,providesaapracticalandefficientmethodforthemicro-blogusers,ordinaryusersandVIPminingusercharacteristics,analysisofusermodel,fortheclassificationofusercommunity.Inordertomicro-b
3、logenterprisesaccordingtodifferentcustomerspersonalizedservice,reasonableallocationofserviceresources.Keywords:Microblogging;Clustering;Associationanalysis;WebDataMiningIV目錄目錄1.緒論..............................................................................................................
4、...................................11.1課題研究背景及國(guó)內(nèi)外現(xiàn)狀.............................................................................................11.1.1課題研究背景............................................................................................................11.1.2國(guó)內(nèi)外的現(xiàn)狀.............
5、...............................................................................................21.2課題研究意義......................................................................................................................21.3論文結(jié)構(gòu)..........................................................
6、.....................................................................32數(shù)據(jù)挖掘與Web數(shù)據(jù)挖掘.........................................................................................................52.1數(shù)據(jù)挖掘技術(shù)...........................................................................................
7、..........................52.2Web數(shù)據(jù)挖掘技術(shù)..............................................................................................................62.3用戶關(guān)注度挖掘..........................................................................................................