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Item Details
| Title:
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DATA MINING
PRACTICAL MACHINE LEARNING TOOLS AND TECHNIQUES, SECOND EDITION |
| By: |
Ian H. Witten, Eibe Frank |
| Format: |
Paperback |
| List price:
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£45.99 |
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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: |
0120884070 |
| ISBN 13: |
9780120884070 |
| Publisher: |
ELSEVIER SCIENCE & TECHNOLOGY |
| Pub. date: |
1 June, 2005 |
| Edition: |
2nd edition |
| Series: |
The Morgan Kaufmann Series in Data Management Systems |
| Pages: |
560 |
| Description: |
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. This book includes comprehensive information on neural networks. It features a section on Bayesian networks. |
| Synopsis: |
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. |
| Publication: |
US |
| Imprint: |
Morgan Kaufmann Publishers In |
| Returns: |
Non-returnable |
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