Table of contents for Introduction to data mining / Pang-Ning Tan, Michael Steinbach, Vipin Kumar.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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Preface
Acknowledgments
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
Appendices
Linear Algebra
Dimensionality Reduction: PCA, SVD, and More
Probability and Statistics
Regression
Optimization
Bibliography
Index

Library of Congress Subject Headings for this publication:

Data mining.