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  • Conference proceedings
  • © 1994

Rough Sets, Fuzzy Sets and Knowledge Discovery

Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD’93), Banff, Alberta, Canada, 12–15 October 1993

Editors:

  1. Wojciech P. Ziarko

    1. Department of Computer Science, University of Regina, Regina, Canada

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Part of the book series: Workshops in Computing (WORKSHOPS COMP.)

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Table of contents (55 papers)

  1. Front Matter

    Pages i-x
    PDF

  4. Search for Concepts and Dependencies in Databases

    • Rokia Missaoui, Robert Godin
    Pages 16-23

  5. Rough Sets and Concept Lattices

    • G. Deon Oosthuizen
    Pages 24-31

  6. Human-Computer Interfaces: DBLEARN and SystemX

    • Nick Cercone, Paul McFetridge, Jiawei Han, Fred Popowich
    Pages 32-43

  8. Knowledge Recognition, Rough Sets, and Formal Concept Lattices

    • Walter A. Sedelow Jr., Sally Yeates Sedelow
    Pages 52-61

  9. Quantifying Uncertainty of Knowledge Discovered From Databases

    • Y. Xiang, S. K. M. Wong, N. Cercone
    Pages 63-73

  11. A System Architecture for Database Mining Applications

    • Vijay V. Raghavan, Hayri Sever, Jitender S. Deogun
    Pages 82-89

  13. A Rough Set Model for Relational Databases

    • Theresa Beaubouef, Frederick E. Petry
    Pages 100-107

  14. Data Filtration: A Rough Set Approach

    • Andrzej Skowron
    Pages 108-118

  16. Hard and Soft Sets

    • Zdzislaw Pawlak
    Pages 130-135

  19. A Note on Categories of Information Systems

    • J. A. Pomykala, E. de Haas
    Pages 149-156

  20. On Rough Sets in Topological Boolean Algebras

    • Marek Chuchro
    Pages 157-160
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About this book

The objective of this book is two-fold. Firstly, it is aimed at bringing to­ gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisition, and others. This spectrum of applications is reflected in this book where articles, although centered around knowledge discovery problems, touch a number of related issues. The book is intended to provide an important reference material for students, researchers, and developers working in the areas of knowledge discovery, machine learning, reasoning with uncertainty, adaptive expert systems, and pattern classification.
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Keywords

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Editors and Affiliations

  • Department of Computer Science, University of Regina, Regina, Canada

    Wojciech P. Ziarko

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Bibliographic Information

  • Book Title: Rough Sets, Fuzzy Sets and Knowledge Discovery

  • Book Subtitle: Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD’93), Banff, Alberta, Canada, 12–15 October 1993

  • Editors: Wojciech P. Ziarko

  • Series Title: Workshops in Computing

  • DOI: https://doi.org/10.1007/978-1-4471-3238-7

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: British Computer Society 1994

  • Softcover ISBN: 978-3-540-19885-7Published: 08 August 1994

  • eBook ISBN: 978-1-4471-3238-7Published: 06 December 2012

  • Series ISSN: 1431-1682

  • Edition Number: 1

  • Number of Pages: X, 476

  • Number of Illustrations: 18 b/w illustrations

  • Topics: Artificial Intelligence

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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