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Rough Sets and Current Trends in Computing

First International Conference, RSCTC’98 Warsaw, Poland, June 22–26, 1998 Proceedings

  • Lech Polkowski
  • Andrzej Skowron
Conference proceedings RSCTC 1998

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1424)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1424)

Table of contents

  1. Front Matter
    Pages I-XIII
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  2. Invited Talks (received in text form)

    1. Deviation and Association Patterns for Subgroup Mining in Temporal, Spatial, and Textual Data Bases
      Willi Klösgen
      Pages 1-18
    2. The Paradox of the Heap of Grains in Respect to Roughness, Fuzziness and Negligibility
      Solomon Marcus
      Pages 19-22
    3. Rough Sets - What Are They About?
      V. Wiktor Marek, Mirosław Truszczyński
      Pages 24-24
    4. Reasoning about Data — A Rough Set Perspective
      Zdzisław Pawlak
      Pages 25-34
    5. Information Granulation and its Centrality in Human and Machine Intelligence
      Lotfi A. Zadeh
      Pages 35-36

  3. Communications

    1. Session RSM1 Rough Set Methods

      1. Classification Strategies Using Certain and Possible Rules
        Jerzy W. Grzymala-Busse, Xihong Zou
        Pages 37-44
      2. Well-Behaviored Operations for Approximate Sets
        Jose Miro-Julia, José Miró
        Pages 45-51
      3. Searching for Frequential Reducts in Decision Tables with Uncertain Objects
        Dominik Ślezak
        Pages 52-59
      4. A New Rough Set Approach to Multicriteria and Multiattribute Classification
        Salvatore Greco, Benedetto Matarazzo, Roman Slowinski
        Pages 60-67

    2. Session ST1 Statistical Inference

      1. A Heuristic Method of Model Choice for Nonlinear Regression
        J. Ćwik, J. Koronacki
        Pages 68-74
      2. How a New Statistical Infrastructure Induced a New Computing Trend in Data Analysis
        A. Ciok, T. Kowalczyk, E. Pleszczyńska
        Pages 75-82

    3. Session GS1 Grammar Systems and Molecular Computations

      1. Some Remarks on Networks of Parallel Language Processors
        Jürgen Dassow
        Pages 83-90
      2. Molecular Computation for Genetic Algorithms
        J. Castellanos, S. Leiva, J. Rodrigo, A. Rodríguez-Patón
        Pages 91-98
      3. Marcus Contextual Languages and their Cut-and-Paste Properties
        Rodica Ceterchi
        Pages 99-106
      4. Contextual Multilanguages: A Learning Method
        Radu Gramatovici
        Pages 107-110
      5. On Recognition of Words from Languages Generated by Linear Grammars with One Nonterminal Symbol
        Alexander Knyazev
        Pages 111-114

    4. Session LRS1 Logic in Rough Sets

      1. Approximation Spaces and Definability for Incomplete Information Systems
        Wojciech Buszkowski
        Pages 115-122
      2. Intrinsic Co-Heyting Boundaries and Information Incompleteness in Rough Set Analysis
        Piero Pagliani
        Pages 123-130
      3. Multifunctions as Approximation Operations in Generalized Approximation Spaces
        P. Maritz
        Pages 131-138
      4. Preimage Relations and Their Matrices
        Jouni Järvinen
        Pages 139-146

    5. Session IC1 Intelligent Control

      1. Cellular Neural Networks for Navigation of a Mobile Robot
        Barbara Siemiatkowska, Artur Dubrawski
        Pages 147-154
      2. The Takagi-Sugeno Fuzzy Model Identification Method of Parameter Varying Systems
        Xie Keming, T. Y. Lin, Zhang Jianwei
        Pages 155-163
      3. Sensing of Arc Length and Wire Extension Using Neural Network in Robotic Welding
        Kazuhiko Eguchi, Satoshi Yamane, Hideo Sugi, Kenji Oshima
        Pages 163-170
      4. Traffic Signal Control Using Multi-layered Fuzzy Control
        Satoshi Yamane, Kazuhiro Okada, Kenji Shinoda, Kenji Oshima
        Pages 171-177

    6. Session RSKDD1 Rough Sets in KDD

      1. Approximation Region-Based Decision Tables
        Wojciech Ziarko
        Pages 178-185
      2. A Model of RSDM Implementation
        María C. Fernández-Baizán, Ernestina Menasalvas Ruiz, Anita Wasilewska
        Pages 186-193
      3. Handling Queries in Incomplete CKBS through Knowledge Discovery
        Zbigniew W. Raś
        Pages 194-201
      4. Learning Logical Descriptions for Document Understanding: A Rough Sets-Based Approach
        Emmanuelle Martienne, Mohamed Quafafou
        Pages 202-209
      5. Integrating KDD Algorithms and RDBMS Code
        María C. Fernandez-Baizán, Ernestina Menasalvas Ruiz, José M. Peña Sánchez, Borja Pardo Pastrana
        Pages 210-213

    7. Session DM1 Data Mining

      1. Fast Discovery of Representative Association Rules
        Marzena Kryszkiewicz
        Pages 214-222
      2. Rough Classifiers Sensitive to Costs Varying from Object to Object
        Andrzej Lenarcik, Zdzisław Piasta
        Pages 222-230
      3. Soft Techniques to Data Mining
        Ning Zhong, Juzhen Dong, Setsuo Ohsuga
        Pages 231-238
      4. Business Process Understanding: Mining Many Datasets
        Jan M. Żytkow, Arun P. Sanjeev
        Pages 239-246

    8. Session EV1 Evolutionary Computations

      1. A Genetic Algorithm for Switchbox Routing Problem
        Akinori Kanasugi, Takashi Shimayama, Naoshi Nakaya, Takeshi Iizuka
        Pages 247-254
      2. On the Benefits of Random Memorizing in Local Evolutionary Search
        Hans-Michael Voigt, Jan Matti Lange
        Pages 255-262
      3. An Application of Genetic Algorithms to Floorplanning of VLSI
        Kazuhiko Eguchi, Junya Suzuki, Satoshi Yamane, Kenji Oshima
        Pages 263-270
      4. Learning with Delayed Rewards in Ant Systems for the Job-Shop Scheduling Problem
        Urszula Boryczka
        Pages 271-274

    9. Session GA1 General Approximations

      1. Fuzzy Extension of Rough Sets Theory
        Gianpiero Cattaneo
        Pages 275-282
      2. Fuzzy Similarity Relation as a Basis for Rough Approximations
        Salvatore Greco, Benedetto Matarazzo, Roman Slowinski
        Pages 283-289
      3. Approximation Spaces in Extensions of Rough Set Theory
        Jaroslaw Stepaniuk
        Pages 290-297
      4. On Generalizing Pawlak Approximation Operators
        Y. Y. Yao
        Pages 298-307

    10. Session IP1 Image Processing

      1. Real-Time Real-World Visual Classification — Making Computational Intelligence Fly
        Jan Matti Lange, Hans-Michael Voigt, Steffen Burkhardt, Ralph Göbel
        Pages 308-315
      2. Fractal Operator Convergence by Analysis of Influence Graph
        Władysław Skarbek
        Pages 316-321
      3. Pattern Recognition by Invariant Reference Points
        Krystian Ignasiak, Władysław Skarbek
        Pages 322-329
      4. An Analysis of Context Selection in Embedded Wavelet Coders
        Juan Miguel del Rosario, Czesław Jedrzejek
        Pages 330-337

    11. Session AR1 Approximate Reasoning

      1. Equivalent Characterization of a Class of Conditional Probabilistic Independencies
        S. K. M. Wong, C. J. Butz
        Pages 338-345
      2. A New Qualitative Rough-Set Approach to Modeling Belief Functions
        Mieczysław A. Kłopotek, Sławomir T. Wierzchoń
        Pages 346-354

    12. Session IP2 Image Processing

      1. On Stability of Oja Algorithm
        Radosław Sikora, Władysław Skarbek
        Pages 354-360
      2. Transform Vector Quantization of Images in One Dimension
        Remigiusz J. Rak
        Pages 361-369

About these proceedings

Introduction

This volume constitutes the refereed proceedings of the First International Conference on Rough Sets and Current Trends in Computing, RSCTC'98, held in Warsaw, Poland, in June 1998.
The volume presents 82 revised papers carefully selected for inclusion in the proceedings; also included are five invited contributions. The volume is divided in topical sections on rough set methods, statistical inference, grammar systems and molecular computations, logic in rough sets, intelligent control, rough sets in knowledge discovery and data discovery, data mining, evolutionary computation, hybrid methods, etc..

Keywords

Evolution ary Computing Rough Sets Statistical Inferencce control data mining evolution evolutionary computation grammar knowledge knowledge discovery logic

Editors and affiliations

  • Lech Polkowski
    • 1
  • Andrzej Skowron
    • 2
  1. 1.Institute of MathematicsWarsaw University of TechnologyWarszawaPoland
  2. 2.Institute of MathematicsWarsaw UniversityWarszawaPoland

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-69115-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-64655-6
  • Online ISBN 978-3-540-69115-0
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site