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Introduction to data mining

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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. 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...

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Bibliographic Details
Main Author: Tan, Pang-Ning
Other Authors: Steinbach, Michael, Kumar, Vipin
Format: Book
Language:English
Published: Essex Pearson 2014
Edition:Pearson New International Edition. First edition
Subjects:
Data mining.
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Table of 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
  • Appendix B Dimensionality Reduction
  • Appendix D Regression Appendix
  • E Optimization.

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