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Introduction to Data Mining / Pang-Ning Tan, Michael Steinbach, Vipin Kumar.

By: Contributor(s): Material type: TextTextPublisher: Harlow : Pearson, [2014]Copyright date: c2014Edition: first editionDescription: 732 pages : illustrations; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781292026152
  • 1292026154
Subject(s): DDC classification:
  • 22 006.312 T.P.I
Online resources:
Contents:
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
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Course reserves
Text Books Text Books Main library Reserve Computers & Information Technology ( Information systems ) 006.312 T.P.I (Browse shelf(Opens below)) C.1 Not for loan 00011981

Data Mining

Books Books Main library A2 Computers & Information Technology ( Information systems ) 006.312 T.P.I (Browse shelf(Opens below)) C.2 Available 00016745

Includes bibliographical references and indexes.

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

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