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Introduction to Data Mining

De (autor): Pang-ning Tan

Introduction to Data Mining - Pang-ning Tan

Introduction to Data Mining

De (autor): Pang-ning Tan


Introduction 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. KEY TOPICS: Provides both theoretical and practical coverage of all data mining topics. Includes extensive number of integrated examples and figures. Topics covered include; predictive modeling, association analysis, clustering, anomaly detection, visualization. MARKET: Suitable for individuals seeking an introduction to data mining. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed.
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Introduction 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. KEY TOPICS: Provides both theoretical and practical coverage of all data mining topics. Includes extensive number of integrated examples and figures. Topics covered include; predictive modeling, association analysis, clustering, anomaly detection, visualization. MARKET: Suitable for individuals seeking an introduction to data mining. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed.
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