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Data mining techniques and applications : an introduction

Author: Hongbo Du
Publisher: Andover : Cengage Learning, 2010.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
This concise and approachable introduction to data mining selects a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach.
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Document Type: Book
All Authors / Contributors: Hongbo Du
ISBN: 9781844808915 1844808912
OCLC Number: 499088832
Description: pages
Contents: Preface --
Acknowledgements --
Walk through tour --
1. Introduction --
2. Principles of data mining --
3. Data, pre-processing and exploration --
4. Basic techniques for cluster detection --
5. Other techniques for cluster detection --
6. Decision tree induction for classification --
7. Other classification techniques --
8. Techniques for mining Boolean association rules --
9. Mining techniques for other types of association --
10. Data mining in practice --
Bibliography --
index.
Responsibility: by Hongbo Du.

Abstract:

This concise and approachable introduction to data mining selects a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach.

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1. Introduction 2. Principles of Data Mining 3. Data, Data Pre-processing and Data Exploration 4. Basic Techniques for Cluster Detection 5. Advanced Techniques for Cluster Detection 6. Decision Tree Read more...

 
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