Data mining : concepts and techniques /

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The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Han, Jiawei
Other Authors: Kamber, Micheline, Pei, Jian
Format: Electronic eBook
Language:Inglés
Published: Burlington : Elsevier Science, 2011.
Edition:3rd ed.
Series:Morgan Kaufmann series in data management systems.
Subjects:
Data mining.
Data Mining
Exploration de donn�ees (Informatique)
Data mining
Computer-assisted instruction
Data mining > Handbooks, manuals, etc.
Computer science
Electronic books
Handbook
handbooks.
Handbooks and manuals
Handbooks and manuals.
Guides et manuels.
Online Access:Texto completo
Table of Contents:
  • Front Cover; Data Mining: Concepts and Techniques; Copyright; Dedication; Table of Contents; Foreword; Foreword to Second Edition; Preface; Acknowledgments; About the Authors; Chapter 1. Introduction; Chapter 2. Getting to Know Your Data; Chapter 3. Data Preprocessing; Chapter 4. Data Warehousing and Online Analytical Processing; Chapter 5. Data Cube Technology; Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods; Chapter 7. Advanced Pattern Mining; Chapter 8. Classification: Basic Concepts; Chapter 9. Classification: Advanced Methods.
  • Chapter 10. Cluster Analysis: Basic Concepts and MethodsChapter 11. Advanced Cluster Analysis; Chapter 12. Outlier Detection; Chapter 13. Data Mining Trends and Research Frontiers; Bibliography; Index.

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