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Rough Sets and Current Trends in Computing [electronic resource] : 5th International Conference, RSCTC 2006 Kobe, Japan, November 6-8, 2006 Proceedings / edited by Salvatore Greco, Yutaka Hata, Shoji Hirano, Masahiro Inuiguchi, Sadaaki Miyamoto, Hung Son Nguyen, Roman Słowiński.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 4259Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Description: XXII, 954 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540498421
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TJ210.2-211.495
Online resources:
Contents:
Invited Papers -- Commemorative Papers for Professor Pawlak -- Logics in Rough Sets -- Logics in Fuzzy Sets -- Fuzzy-Rough Hybridization -- Approximate and Uncertain Reasoning -- Variable Precision Rough Set Models -- Incomplete/Nondeterministic Information Systems -- Decision Support -- Multi-criteria Decision Support -- Rough Sets in KDD -- Rough Sets in Medicine -- Granular Computing -- Grey Systems -- Ontology and Mereology -- Statistical Mathods -- Machine Learning -- Clustering -- Data Mining -- Evolutionary Computing -- Intelligent Information Systems -- Pattern Recognition and Image Processing -- Data Clustering: Algorithms and Applications (Organized Session).
In: Springer eBooks
Item type: E-BOOKS
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Invited Papers -- Commemorative Papers for Professor Pawlak -- Logics in Rough Sets -- Logics in Fuzzy Sets -- Fuzzy-Rough Hybridization -- Approximate and Uncertain Reasoning -- Variable Precision Rough Set Models -- Incomplete/Nondeterministic Information Systems -- Decision Support -- Multi-criteria Decision Support -- Rough Sets in KDD -- Rough Sets in Medicine -- Granular Computing -- Grey Systems -- Ontology and Mereology -- Statistical Mathods -- Machine Learning -- Clustering -- Data Mining -- Evolutionary Computing -- Intelligent Information Systems -- Pattern Recognition and Image Processing -- Data Clustering: Algorithms and Applications (Organized Session).

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