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Introduction to data mining

Author: Pang-Ning Tan; Michael Steinbach; Vipin Kumar
Publisher: Boston : Pearson Addison Wesley, 2005.
Edition/Format:   Print book : English : 1st edView all editions and formats
Summary:
"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."--Jacket.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Pang-Ning Tan; Michael Steinbach; Vipin Kumar
ISBN: 0321321367 9780321321367 9780321420527 0321420527
OCLC Number: 58729322
Description: xxi, 769 pages : illustrations ; 24 cm
Contents: 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.
Responsibility: Pang-Ning Tan, Michael Steinbach, Vipin Kumar.
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Abstract:

Presents fundamental concepts and algorithms for those learning data mining for the first time. This book explores each concept and features each major topic organized into two chapters, beginning  Read more...

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