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OverviewIntroduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organised into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Full Product DetailsAuthor: Pang-Ning Tan , Michael Steinbach , Vipin Kumar , Anuj KarpatnePublisher: Pearson Education Limited Imprint: Pearson Education Limited Edition: 2nd edition Dimensions: Width: 18.80cm , Height: 3.30cm , Length: 23.10cm Weight: 1.200kg ISBN: 9780273769224ISBN 10: 0273769227 Pages: 864 Publication Date: 07 June 2019 Audience: Adult education , Further / Higher Education Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of Contents1 Introduction 2 Data 3 Classification: Basic Concepts and Techniques 4 Association Analysis: Basic Concepts and Algorithms 5 Cluster Analysis: Basic Concepts and Algorithms 6 Classification: Alternative Techniques 7 Association Analysis: Advanced Concepts 8 Cluster Analysis: Additional Issues and Algorithms 9 Anomaly Detection 10 Avoiding False Discoveries Author IndexReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |