基于web数据挖掘的微博用户的特征的研究

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1、西安理工大学硕士学位论文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目录目录1.绪论..............................................................................................................

4、...................................11.1课题研究背景及国内外现状.............................................................................................11.1.1课题研究背景............................................................................................................11.1.2国内外的现状.............

5、...............................................................................................21.2课题研究意义......................................................................................................................21.3论文结构..........................................................

6、.....................................................................32数据挖掘与Web数据挖掘.........................................................................................................52.1数据挖掘技术...........................................................................................

7、..........................52.2Web数据挖掘技术..............................................................................................................62.3用户关注度挖掘..........................................................................................................