Data Transformation for Mining
Data Transformation for Mining
Read MBA, BBA, B.COM Notes
Data Preparation Techniques: Data cleaning, Integration, Transformation, Data reduction, Discretization, Concept Hierarchy
Data Exploration, Functions, Process, Types, Uses
ETL Processes: Data extraction, Transformation, and Loading
Basic Architecture and Components, Overall Architecture of Data Warehouse Systems, Layers: Staging, Integration, Access
Knowledge Discovery in Databases (KDD), Knowledge Extraction through Data Mining, Steps in KDD Process and Business Applications
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