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Item Details
| Title:
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DATA MINING AND KNOWLEDGE DISCOVERY HANDBOOK
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| By: |
Oded Z. Maimon (Editor), Lior Rokach (Editor) |
| Format: |
Hardback |
| List price:
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£197.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0387244352 |
| ISBN 13: |
9780387244358 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
25 October, 2005 |
| Pages: |
1419 |
| Description: |
Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more. |
| Synopsis: |
"Data Mining and Knowledge Discovery Handbook" organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. "Data Mining and Knowledge Discovery Handbook" is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management. |
| Illustrations: |
400 black & white illustrations |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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