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Rough Sets in Knowledge Discovery 2

Applications, Case Studies and Software Systems
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Description

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.
Release date NZ
October 21st, 2010
Audience
  • Professional & Vocational
Contributor
  • Edited by Lech Polkowski
Edition
Softcover reprint of hardcover 1st ed. 1998
Illustrations
X, 601 p.
Pages
601
Dimensions
156x234x31
ISBN-13
9783790824599
Product ID
10053622

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