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Rough Sets in Knowledge Discovery: Methodology and Applications: Volume 1 (Studies in Fuzziness and Soft Computing) - Hardcover
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.
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Rough sets in knowledge discovery. - 1. Methodology and applications.
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Rough Sets in Knowledge Discovery 1 - Methodology and Application
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Rough Sets in Knowledge Discovery 1 - Methodology and Application
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Rough Sets in Knowledge Discovery 1 - Methodology and Application
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Rough Sets in Knowledge Discovery 1: Methodology and Applications (Studies in Fuzziness and Soft Computing)
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Rough Sets in Knowledge Discovery 1 : Methodology and Applications
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Rough Sets in Knowledge Discovery 1 : Methodology and Applications
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Rough Sets in Knowledge Discovery I: Methodology and Applications (Studies in Fuzziness and Soft Computing, 18)
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