Introduction to Data Mining

International Edition

Pang-Ning Tan, Michael Steinbach, Vipin Kumar

770 pages, parution le 03/10/2006

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Résumé

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. The text requires only a modest background in mathematics.

Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

L'auteur - Vipin Kumar

Vipin Kumar is Professor m the Department of Computer Science and Engineering and the Director of the Army High Performance Computing Reseaich Center at the University of Minnesota. His research interests are in the areas of high performance computing, parallel algorithms (or scientific computing problems and data mining.

Sommaire

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

Appendix A Linear Algebra
Appendix B Dimensionality Reduction
Appendix C Probability and Statistics
Appendix D Regression
Appendix E Optimization

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Pearson, Addison Wesley
Auteur(s)	Pang-Ning Tan, Michael Steinbach, Vipin Kumar
Parution	03/10/2006
Nb. de pages	770
Format	19 x 23,5
Couverture	Broché
Poids	1180g
Intérieur	Noir et Blanc
EAN13	9780321420527
ISBN13	978-0-321-42052-7