Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence, 5, Band 5)
Language: English
Published by Springer, 2005
- Hardcover
- Used

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- Title
- Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence, 5, Band 5)
- Publisher
- Springer
- Publication year
- 2005
- Condition
- Bon
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3540262563
- ISBN 13
- 9783540262565
"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Intelligent Data Mining - Techniques and Applications is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.
"About the title" may belong to another edition of this title.
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