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Rough Sets in Knowledge Discovery 1: Methodology & Applications

Rough Sets in Knowledge Discovery 1: Methodology & Applications Cover

 

Synopses & Reviews

Publisher Comments:

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.

Product Details

ISBN:
9783790811193
Editor:
Skowron, A.
Editor:
Polkowski, L.
Author:
Skowron, A.
Editor:
Kacprzyk, J.
Publisher:
Physica-Verlag
Subject:
Expert systems (computer science)
Subject:
Artificial Intelligence
Subject:
Database management
Subject:
Artificial Intelligence - General
Subject:
Computers-Reference - General
Series:
Studies in Fuzziness and Soft Computing
Series Volume:
18
Publication Date:
19980731
Binding:
Hardcover
Language:
English
Pages:
576

Related Subjects

Business » High Tech Management
Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Database » Applications
Computers and Internet » Database » Design
Computers and Internet » Software Engineering » Software Management

Rough Sets in Knowledge Discovery 1: Methodology & Applications
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Product details 576 pages Springer-Verlag New York, Incorporated - English 9783790811193 Reviews:
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