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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time, requiring only a modest background in mathematics. Each concept is explored thoroughly and supported with numerous examples to provide both theoretical and practical coverage of all data mining topics. All the major topics are organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
Salient Features
Includes an extensive number of integrated examples and figures
Offers instructor resources, including solutions for exercises and a complete set of lecture slides
Topics covered include predictive modeling, association analysis, clustering, anomaly detection, and visualization
ISBN - 9788131764633
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Pages : 796
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