Forewordvii
Prefaceix
Chapter1Introduction
1.1WhatMotivatedDataMining?WhyIsItImportant?
1.2So,WhatIsDataMining?
1.3DataMining-OnWhatKindofData?
1.3.1RelationalDatabases
1.3.2DataWarehouses
1.3.3TransactionalDatabases
1.3.4AdvancedDataandInformationSystemsandAdvancedApplications
1.4DataMiningFunctionalities---WhatKindsofPatternsCanBeMined?
1.4.1Concept/ClassDescription:CharacterizationandDiscrimination
1.4.2MiningFrequentPatterns,Associations,andCorrelations
1.4.3ClassificationandPrediction241.4.4ClusterAnalysis
1.4.5OutlierAnalysis261.4.6EvolutionAnalysis
1.5AreAllofthePatternsInteresting?
1.6ClassificationofDataMiningSystems
1.7DataMiningTaskPrimitives
1.8IntegrationofaDataMiningSystemwithaDatabaseorDataWarehouseSystem
1.9MajorIssuesinDataMining
1.10Summary
Exercises
BibliographicNotes
Chapter2DataPreprocessing
2.1WhyPreprocesstheData?
2.2DescriptiveDataSummarization
2.2.1MeasuringtheCentralTendency
2.2.2MeasuringtheDispersionofData
2.2.3GraphicDisplaysofBasicDescriptiveDataSummaries
2.3DataCleaning
2.3.1MissingValues
2.3.2NoisyData
2.3.3DataCleaningasaProcess
2.4DataIntegrationandTransformation
2.4.1DataIntegration
2.4.2DataTransformation
2.5DataReduction
2.5.1DataCubeAggregation
2.5.2AttributeSubsetSelection
2.5.3DimensionalityReduction
2.5.4NumerosityReduction
2.6DataDiscretizationandConceptHierarchyGeneration
2.6.1DiscretizationandConceptHierarchyGenerationforNumericalData
2.6.2ConceptHierarchyGenerationforCategoricalData
2.7Summary97Exercises97BibliographicNotes
Chapter3DataWarehouseandOLAPTechnology:AnOverview
3.1WhatIsaDataWarehouse?
3.1.1DifferencesbetweenOperationalDatabaseSystemsandDataWarehouses
3.1.2But,WhyHaveaSeparateDataWarehouse?
3.2AMultidimensionalDataModel
3.2.1FromTablesandSpreadsheetstoDataCubes
3.2.2Stars,Snowflakes,andFactConstellations:SchemasforMultidimensionalDatabases
3.2.3ExamplesforDefiningStar,Snowflake,andFactConstellationSchemas
……
Chapter4DataCubeComputationandDataGeneralization
Chapter5MiningFrequentPatterns,Associations,andCorrelations
Chapter6ClassificationadnPredidction
Chapter7ClusterAnalysis
Chapter8MiningStream,Time-Series,andSepuenceData
Chapter9GraphMining,SocialNetworkAnalysis,andMultirelational
Chapter10MiningObject,Spatial,Multimedia,Test,andWedData
Chapter11ApplicationsandTrendsinDataMining
AnIntroductiontoMicrosoftsOLEDBfor
Bibliography
Index