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TABLE OF CONTENTS16 sections

Data Mining

01Data Mining 02Foundations Of Data Mining And Knowledge Discovery 03Data Types Quality And Exploratory Analysis 04Data Preparation And Feature Engineering 05Data Warehousing Olap And Mining Architecture 06Frequent Pattern And Association Rule Mining 07Classification Methods 08Regression Ensembles And Predictive Analytics 09Clustering And Segmentation 10Anomaly And Rare Event Detection 11Model Evaluation Validation And Explainability 12Mining Complex And Dynamic Data 13Scalable Data Mining Technologies 14Solution Deployment And Decision Management 15Ethics Privacy Security And Governance 16Emerging Directions In Data Mining

Chapter 10

Model Evaluation Validation And Explainability

PREVIOUS SECTIONAnomaly And Rare Event Detection UP NEXTMining Complex And Dynamic Data

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