Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems

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Lech Polkowski Andrzej Skowron

Rough Sets in Knowledge Discovery 2

Applications, Case Studies and Software Systems

Lech Polkowski, Andrzej Skowron

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English

Physica-Verlag GmbH & Co
20 August 1998

Mathematical logic; Fuzzy set theory

Series: Studies in Fuzziness and Soft Computing

Summary
Details

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.

Edited by: Lech Polkowski, Andrzej Skowron
Imprint: Physica-Verlag GmbH & Co
Country of Publication: Germany
Edition: 1998 ed.
Volume: 19
Dimensions: Height: 235mm, Width: 155mm, Spine: 33mm
Weight: 3.040kg
ISBN: 9783790811209
ISBN 10: 3790811203
Series: Studies in Fuzziness and Soft Computing
Pages: 601
Publication Date: 20 August 1998
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active