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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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Polkowski, Lech, Skowron, Andrzej
Other title:Rough sets in knowledge discovery two.
Format: eBook
Language:English
Published: Heidelberg ; New York : Physica-Verlag, ©1998.
Series:Studies in fuzziness and soft computing ; v. 19.
Subjects:

MARC

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246 3 |a Rough sets in knowledge discovery two. 
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505 0 |a Applications -- Case Studies -- Hybrid Approaches -- Appendix 1: Rough Set Bibliography -- Appendix 2: Software Systems. 
520 |a 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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