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1、PrinciplesofDataMiningbyDavidHand,HeikkiMannilaandPadhraicSmythISBN:026208290xTheMITPress©2001(546pages)Acomprehensive,highlytechnicallookatthemathandsciencebehindextractingusefulinformationfromlargedatabases.TableofContentsPrinciplesofDataMiningSeriesForewordPrefaceChapter1-IntroductionChapter2-Me
2、asurementandDataChapter3-VisualizingandExploringDataChapter4-DataAnalysisandUncertaintyChapter5-ASystematicOverviewofDataMiningAlgorithmsChapter6-ModelsandPatternsChapter7-ScoreFunctionsforDataMiningAlgorithmsChapter8-SearchandOptimizationMethodsChapter9-DescriptiveModelingChapter10-PredictiveModel
3、ingforClassificationChapter11-PredictiveModelingforRegressionChapter12-DataOrganizationandDatabasesChapter13-FindingPatternsandRulesChapter14-RetrievalbyContentAppendix-RandomVariablesReferencesIndexListofFiguresListofTablesListofExamplesPrinciplesofDataMiningDavidHandHeikkiMannilaPadhraicSmythABra
4、dfordBookTheMITPressCambridge,MassachusettsLondonEnglandCopyright©2001MassachusettsInstituteofTechnologyAllrightsreserved.Nopartofthisbookmaybereproducedinanyformbyanyelectronicormechanicalmeans(includingphotocopying,recording,orinformationstorageandretrieval)withoutpermissioninwritingfromthepublis
5、her.ThisbookwastypesetinPalatinobytheauthorsandwasprintedandboundintheUnitedStatesofAmerica.LibraryofCongressCataloging-in-PublicationDataHand,D.J.Principlesofdatamining/DavidHand,HeikkiMannila,PadhraicSmyth.p.cm.—(Adaptivecomputationandmachinelearning)Includesbibliographicalreferencesandindex.ISBN
6、0-262-08290-X(hc.:alk.paper)1.DataMining.I.Mannila,Heikki.II.Smyth,Padhraic.III.Title.IV.Series.QA76.9.D343H382001006.3—dc212001032620ToCrista,Aidan,andCianToPaulaandElsaToShelley,Rachel,andEmilySeriesForewordTherapidgrowthandintegrationofdatabasesprovidesscientists,engineers,andbusinesspeoplewitha
7、vastnewresourcethatcanbeanalyzedtomakescientificdiscoveries,optimizeindustrialsystems,anduncoverfinanciallyvaluablepatterns.Toundertaketheselargedataanalysisprojects,researchersandpractitionershaveadoptedes
