| Title:
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ROUGH SETS IN KNOWLEDGE DISCOVERY
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| Volume: |
v. 1 |
| By: |
Lech Polkowski (Editor), Andrzej Skowron (Editor) |
| Format: |
Hardback |
| List price:
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£118.50 |
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| ISBN 10: |
379081119X |
| ISBN 13: |
9783790811193 |
| Publisher: |
PHYSICA-VERLAG GMBH & CO |
| Series: |
Studies in Fuzziness and Soft Computing v. 18 |
| Pages: |
576 |
| Description: |
This work, together with Volume 2, brings together articles covering the current knowledge of rough sets in the field of knowledge discovery. Among the topics covered are the rough mereological approach to knowledge discovery in distributed systems; and morphological aspects of rough set theory. |
| Synopsis: |
The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory. |
| Illustrations: |
56 black & white illustrations, 75 black & white tables, biography |
| Publication: |
Germany |
| Imprint: |
Physica-Verlag GmbH & Co |
| Returns: |
Non-returnable |