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Introduction to data mining

By: Tan, Pang-Ning.
Contributor(s): Steinbach, Michael | Kumar, Vipin.
Material type: materialTypeLabelBookPublisher: New Delhi : Pearson/Addison-Wesley, ©2005Description: xxi, 769 p. : ill. ; 24 cm.ISBN: 9788131714720.Subject(s): Data miningOnline resources: Table of contents
Contents:
Introduction -- Data -- Exploring data -- Classification : basic concepts, decision trees, and model evaluation -- Classification : alternative techniques -- Association analysis : basic concepts and algorithms -- Association analysis : advanced concepts -- Cluster analysis : basic concepts and algorithms -- Cluster analysis : additional issues and algorithms -- Anomaly detection -- Linear algebra -- Dimensionality reduction -- Probability and statistics -- Regression -- Optimization.
Review: "Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics."--BOOK JACKET.
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Includes bibliographical references and indexes.

1. Introduction -- 2. Data -- 3. Exploring data -- 4. Classification : basic concepts, decision trees, and model evaluation -- 5. Classification : alternative techniques -- 6. Association analysis : basic concepts and algorithms -- 7. Association analysis : advanced concepts -- 8. Cluster analysis : basic concepts and algorithms -- 9. Cluster analysis : additional issues and algorithms -- 10. Anomaly detection -- App. A. Linear algebra -- App. B. Dimensionality reduction -- App. C. Probability and statistics -- App. D. Regression -- App. E. Optimization.

"Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics."--BOOK JACKET.

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