Advanced Data Mining Techniques (eBook)

David L. Olson, Dursun Delen (Autoren)

eBook Download: PDF

2008
XII, 180 Seiten
Springer Berlin (Verlag)
978-3-540-76917-0 (ISBN)

Infos

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.

Inhalt

Preface 6
Contents 8
Part I INTRODUCTION 12
1 Introduction 13
2 Data Mining Process 19
Part II DATA MINING METHODS AS TOOLS 46
3 Memory-Based Reasoning Methods 47
4 Association Rules in Knowledge Discovery 61
5 Fuzzy Sets in Data Mining 77
6 Rough Sets 95
7 Support Vector Machines 118
8 Genetic Algorithm Support to Data Mining 131
9 Performance Evaluation for Predictive Modeling 142
Part III APPLICATIONS 153
10 Applications of Methods 154
Bibliography 171
Index 179

Produkt-Details

• Erscheint lt. Verlag: 1.1.2008
• Zusatzinfo: XII, 180 p. 21 illus.
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Wirtschaft ► Allgemeines / Lexika
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Planung / Organisation
• Schlagworte: Data Mining • data mining applications • Data Mining Process • Knowledge Discovery • Modeling • Rough Sets • service-oriented computing • Sets • Support Vector Machine • Support Vector Machines
• ISBN-10: 3-540-76917-X / 354076917X
• ISBN-13: 978-3-540-76917-0 / 9783540769170