- 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.