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Item Details
| Title:
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DATA ANALYSIS AND KNOWLEDGE DISCOVERY
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| By: |
Nikola K. Kasabov, Brendon J. Woodford, Michael J. Watts |
| Format: |
Hardback |
| List price:
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£52.99 |
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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: |
084933814X |
| ISBN 13: |
9780849338144 |
| Publisher: |
TAYLOR & FRANCIS INC |
| Pub. date: |
26 January, 2010 |
| Pages: |
400 |
| Description: |
Addresses the fundamental differences between data, information, and knowledge. This book considers how data can be effectively characterized in light of its diverse forms and origins. It deals with several topics related to information theory, including measurement, probability, and consider how data is analyzed and transformed into information. |
| Synopsis: |
This book begins by addressing the fundamental differences between data, information, and knowledge. It then considers how data can be effectively characterized in light of its diverse forms and origins before looking at the various aspects of data acquisition and storage. The authors then deal with several topics related to information theory, including measurement, probability, and entropy, and consider how data is analyzed and transformed into information. Finally, they look to computational modeling for both problem solving and knowledge discovery, employing methods derived from statistics and computer science and discussing selection, use, and particular applications of these methods. |
| Illustrations: |
200 black & white illustrations |
| Publication: |
US |
| Imprint: |
CRC Press Inc |
| Returns: |
Returnable |
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