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Rough Set Methods and Applications

New Developments in Knowledge Discovery in Information Systems

  • Book
  • © 2000

Overview

Editors:
  1. Lech Polkowski

    1. Department of Mathematics and Information Sciences, Warsaw University of Technology, Warsaw, Poland

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  2. Shusaku Tsumoto

    1. Department of Medical Informatics, Shinmane Medical University, Izumo City, Shimane, Japan

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    You can also search for this editor in PubMed   Google Scholar

  3. Tsau Y. Lin

    1. Department of Mathematics and Computer Science, San Jose State University, San Jose, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Presentation of the state of the art in rough set methods
  • Rich inventory of algorithmic and heuristic tools
  • Extensive bibliography

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 56)

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Table of contents (13 chapters)

  1. Front Matter

    Pages I-X
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Introducing the Book

      • Lech Polkowski, Shusaku Tsumoto, Tsau Y. Lin
      Pages 3-7

    3. A Rough Set Perspective on Knowledge Discovery in Information Systems: An Essay on the Topic of the Book

      • Lech Polkowski, Shusaku Tsumoto, Tsau Young Lin
      Pages 9-45

  3. Methods and Applications: Reducts, Similarity, Mereology

    1. Front Matter

      Pages 47-47
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    2. Rough Set Algorithms in Classification Problem

      • Jan G. Bazan, Hung Son Nguyen, Sinh Hoa Nguyen, Piotr Synak, Jakub Wróblewski
      Pages 49-88

    3. Rough Mereology in Information Systems. A Case Study: Qualitative Spatial Reasoning

      • Lech Polkowski, Andrzej Skowron
      Pages 89-135

    4. Knowledge Discovery by Application of Rough Set Models

      • Jaroslaw Stepaniuk
      Pages 137-233

    5. Various Approaches to Reasoning with Frequency Based Decision Reducts: A Survey

      • Dominik ÅšlÄ™zak
      Pages 235-285

  4. Methods and Applications: Regular Pattern Extraction, Concurrency

    1. Front Matter

      Pages 287-287
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    2. Regularity Analysis and its Applications in Data Mining

      • Sinh Hoa Nguyen
      Pages 289-378

    3. Rough Set Methods for the Synthesis and Analysis of Concurrent Processes

      • Bigniew Suraj
      Pages 379-488

  5. Methods and Applications: Algebraic and Statistical Aspects, Conflicts, Incompleteness

    1. Front Matter

      Pages 489-489
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    2. Conflict Analysis

      • Rafal Deja
      Pages 491-519

    3. Logical and Algebraic Techniques for Rough Set Data Analysis

      • Ivo Düntsch, Günther Gediga
      Pages 521-544

    4. Statistical Techniques for Rough Set Data Analysis

      • Günther Gediga, Ivo Düntsch
      Pages 545-565

    5. Data Mining in Incomplete Information Systems from Rough Set Perspective

      • Marzena Kryszkiewicz, Henryk RybiÅ„ski
      Pages 567-580

  6. Afterword

    1. Front Matter

      Pages 581-581
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    2. Rough Sets and Rough Logic: A KDD Perspective

      • ZdzisÅ‚aw Pawlak, Lech Polkowski, Andrzej Skowron
      Pages 583-646

  7. Back Matter

    Pages 647-683
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Keywords

About this book

Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.

Editors and Affiliations

  • Department of Mathematics and Information Sciences, Warsaw University of Technology, Warsaw, Poland

    Lech Polkowski

  • Department of Medical Informatics, Shinmane Medical University, Izumo City, Shimane, Japan

    Shusaku Tsumoto

  • Department of Mathematics and Computer Science, San Jose State University, San Jose, USA

    Tsau Y. Lin

Bibliographic Information

  • Book Title: Rough Set Methods and Applications

  • Book Subtitle: New Developments in Knowledge Discovery in Information Systems

  • Editors: Lech Polkowski, Shusaku Tsumoto, Tsau Y. Lin

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-7908-1840-6

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2000

  • Softcover ISBN: 978-3-662-00376-3Published: 08 October 2012

  • eBook ISBN: 978-3-7908-1840-6Published: 07 October 2012

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: X, 683

  • Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, IT in Business

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