Rough sets in knowledge discovery 2 : applications, case studies, and software systems / Lech Polkowski, Andrzej Skowron (eds.)
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...
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| Online Access: |
Full Text (via Springer) |
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| Other Authors: | , |
| Other title: | Rough sets in knowledge discovery two. |
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg ; New York :
Physica-Verlag,
©1998.
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| Series: | Studies in fuzziness and soft computing ;
v. 19. |
| Subjects: |
| Summary: | 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. |
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| Physical Description: | 1 online resource (x, 601 pages) : illustrations. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783790818833 3790818836 9783790824599 3790824593 |
| ISSN: | 1434-9922 ; |