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ID:9986150
大小:9.32 MB
页数:63页
时间:2018-05-12
《数据挖掘概念与技术 第二版 韩家炜 第十一章a1visualmine》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、DataMining:ConceptsandTechniques—Chapter11——ApplicationsandTrendsinDataMining—AdditionalTheme:VisualDataMiningJiaweiHanandMichelineKamberDepartmentofComputerScienceUniversityofIllinoisatUrbana-Champaignwww.cs.uiuc.edu/~hanj©2006JiaweiHanandMichelineKamber.Allrigh
2、tsreserved.6/25/20211DataMining:ConceptsandTechniques6/25/20212DataMining:ConceptsandTechniquesVisualDataMining:AnOverviewWhatisVisualDataMining?SurveyoftechniquesDataVisualizationVisualizingDataMiningResultsVisualDataMining6/25/20213DataMining:ConceptsandTechniq
3、uesWhatIsVisualDataMining?Visualdatamining“discoversimplicitandusefulknowledgefromlargedatasetsusingdataand/orknowledgevisualizationtechniques”Datavisualization+Dataminingtechniques6/25/20214DataMining:ConceptsandTechniquesWhyVisualDataMining?Advantagesofhumanvis
4、ualsystemHighlyparallelprocessorSophisticatedreasoningengineLargeknowledgebaseCanbeusedtocomprehenddatadistributions,patterns,clusters,andoutliersDataMiningAlgorithmsVisualizationActionable+–Evaluation+–Flexibility–+UserInteraction–+6/25/20215DataMining:Conceptsa
5、ndTechniquesWhyNotOnlyVisualDataMining?DisadvantagesofhumanvisualsystemNeedstrainingNotautomatedIntrinsicbiasLimitofabout106or107observations(Wegman1995)Powerofintegrationwithanalyticalmethods6/25/20216DataMining:ConceptsandTechniquesScopeofVisualDataMiningVisual
6、ization:Useofcomputergraphicstocreatevisualimageswhichaidintheunderstandingofcomplex,oftenmassiverepresentationsofdataVisualDataMining:TheprocessofdiscoveringimplicitbutusefulknowledgefromlargedatasetsusingvisualizationtechniquesComputerGraphicsHighPerformanceCom
7、putingPatternRecognitionHumanComputerInterfacesMultimediaSystems6/25/20217DataMining:ConceptsandTechniquesPurposeofVisualizationGaininsightintoaninformationspacebymappingdataontographicalprimitivesProvidequalitativeoverviewoflargedatasetsSearchforpatterns,trends,
8、structure,irregularities,relationshipsamongdataHelpfindinterestingregionsandsuitableparametersforfurtherquantitativeanalysisProvideavisualproofofcomputerrepres
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