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Item Details
| Title:
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ROUGH SET METHODS AND APPLICATIONS
NEW DEVELOPMENTS IN KNOWLEDGE DISCOVERY IN INFORMATION SYSTEMS |
| By: |
Lech Polkowski (Editor), Shusaku Tsumoto (Editor), Tsau Young Lin (Editor) |
| Format: |
Hardback |
| List price:
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£72.00 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
3790813281 |
| ISBN 13: |
9783790813289 |
| Publisher: |
PHYSICA-VERLAG GMBH & CO |
| Series: |
Studies in Fuzziness and Soft Computing v. 56 |
| Pages: |
683 |
| Description: |
This is a deep theoretical discussion of relevant notions and ideas as well as an inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. |
| Synopsis: |
Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research. |
| Illustrations: |
133 black & white tables, biography |
| Publication: |
Germany |
| Imprint: |
Physica-Verlag GmbH & Co |
| Returns: |
Non-returnable |
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