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" Rough Sets in Knowledge Discovery 2 "
edited by Lech Polkowski, Andrzej Skowron.
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BL
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| Record Number
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578824
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b408043
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| Main Entry
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Polkowski, Lech.
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| Title & Author
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Rough Sets in Knowledge Discovery 2 : Applications, Case Studies and Software Systems /\ edited by Lech Polkowski, Andrzej Skowron.
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| Publication Statement
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Heidelberg :: Physica-Verlag HD :: Imprint: Physica,, 1998.
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| Series Statement
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Studies in Fuzziness and Soft Computing,; 19
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| ISBN
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9783790818833
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: 9783790824599
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| Contents
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Applications -- Case Studies -- Hybrid Approaches -- Appendix 1: Rough Set Bibliography -- Appendix 2: Software Systems.
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| Abstract
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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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Economics.
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Database management.
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Artificial intelligence.
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Management information systems.
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Skowron, Andrzej.
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SpringerLink (Online service)
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