Name: Rough Sets in Knowledge Discovery 1
ISBN: 978-3-7908-1884-0

Overview

Editors:

Lech Polkowski⁰

Lech Polkowski
1. Polish-Japanese Institute of Information Technology, Warszawa, Poland
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Provides many very interesting results
Marks out future directions of developments of this domain

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 18)

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Keywords

Datenanalyse
Fuzzy-Logik
complexity
data analysis
data mining
data model
data modelling
database
decision tree
distributed systems
fuzzy logic
information system
knowledge discovery
learning
modeling

About this book

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.

Editors and Affiliations

Polish-Japanese Institute of Information Technology, Warszawa, Poland

Lech Polkowski

Bibliographic Information

Book Title: Rough Sets in Knowledge Discovery 1
Book Subtitle: Methodology and Applications
Editors: Lech Polkowski
Series Title: Studies in Fuzziness and Soft Computing
Publisher: Physica Heidelberg
eBook Packages: Engineering, Engineering (R0)
eBook ISBN: 978-3-7908-1884-0Due: 14 April 2014
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 576
Number of Illustrations: 56 b/w illustrations

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Rough Sets in Knowledge Discovery 1