DATA MINING


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About The Book

Book contain Concept Data Mining overview Data Warehouse and OLAP TechnologyData Warehouse Architecture Stepsfor the Design and Construction of Data Warehouses A Three-Tier Data WarehouseArchitectureOLAPOLAP queries metadata repositoryData Preprocessing – Data Integration and Transformation Data ReductionData Mining Primitives:What Defines a Data Mining Task? Task-Relevant Data The Kind of Knowledge to be MinedKDD. What Is Cluster Analysis Types of Data in Cluster AnalysisA Categorization of Major Clustering Methods Classical Partitioning Methods: k-Meansand k-Medoids Partitioning Methods in Large Databases: From k-Medoids to CLARANS Hierarchical Methods Agglomerative and Divisive Hierarchical ClusteringDensity-BasedMethods Wave Cluster: Clustering Using Wavelet Transformation CLIQUE:Clustering High-Dimensional Space Model-Based Clustering Methods Statistical ApproachNeural Network Approach.
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