Lecture notes in data mining / edited by Michael W. Berry, Murray Browne.

Format:

Book

Contributor:

Berry, Michael W.

Browne, Murray.

Language:

English

Subjects (All):

Data mining.

Database searching.

Physical Description:

1 online resource (238 p.)

Edition:

1st ed.

Place of Publication:

Hackensack, NJ : World Scientific, c2006.

Language Note:

English

Summary:

The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This book is a series of seventeen edited "student-authored lectures" which explore in depth the core of data mining (classification, clustering and association rules) by offering overviews that include both analysis and insight. The initial chapters lay a framework of data mining techniques by expla

Contents:

CONTENTS ; Preface ; 1 Point Estimation Algorithms ; 1. Introduction ; 2. Motivation ; 3. Methods of Point Estimation ; 4. Measures of Performance ; 5. Summary ; 2 Applications of Bayes Theorem ; 1. Introduction ; 2. Motivation ; 3. The Bayes Approach for Classification

4. Examples 5. Summary ; 3 Similarity Measures ; 1. Introduction ; 2. Motivation ; 3. Classic Similarity Measures ; 4. Example ; 5. Current Applications ; 6. Summary ; 4 Decision Trees ; 1. Introduction ; 2. Motivation ; 3. Decision Tree Algorithms

4. Example: Classification of University Students 5. Applications of Decision Tree Algorithms ; 6. Summary ; 5 Genetic Algorithms ; 1. Introduction ; 2. Motivation ; 3. Fundamentals ; 4. Example: The Traveling-Salesman ; 5. Current and Future Applications ; 6. Summary

6 Classification: Distance-based Algorithms 1. Introduction ; 2. Motivation ; 3. Distance Functions ; 4. Classification Algorithms ; 5. Current Applications ; 6. Summary ; 7 Decision Tree-based Algorithms ; 1. Introduction ; 2. Motivation ; 3. ID3 ; 4. C4.5 ; 5. C5.0

6. CART 7. Summary ; 8 Covering (Rule-based) Algorithms ; 1. Introduction ; 2. Motivation ; 3. Classification Rules ; 4. Covering (Rule-based) Algorithms ; 5. Applications of Covering Algorithms ; 6. Summary ; 9 Clustering: An Overview ; 1. Introduction ; 2. Motivation

3. The Clustering Process

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786611379049

9781281379047

1281379042

9789812773630

9812773630

OCLC:

879025456