Material Detail

Provides both theoretical and practical coverage of all data mining topics. Includes extensive number of integrated examples and figures.

Offers instructor resources including solutions for exercises and complete set of lecture slides.

 Assumes only a modest statistics or mathematics background, and no database knowledge is needed.

Topics covered include; predictive modeling, association analysis, clustering, anomaly detection, visualization.

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