Intelligent Information Systems 2001

Proceedings of the International Symposium “Intelligent Information Systems X”, June 18–22, 2001, Zakopane, Poland

  • Mieczysław A. Kłopotek
  • Maciej Michalewicz
  • Sławomir T. Wierzchoń
Conference proceedings

DOI: 10.1007/978-3-7908-1813-0

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 10)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Rule and Decision Tree Learning

    1. Guido Cervone, Liviu Panait, Ryszard Michalski
      Pages 13-29
    2. Cezary Głowiński, Ryszard S. Michalski
      Pages 31-41
    3. Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
      Pages 43-55
  3. Unsupervised Learning

    1. Włodzisław Duch, Karol Grudziński
      Pages 75-85
    2. Piotr Gawrysiak, Michal Okoniewski, Henryk Rybinski
      Pages 87-95
    3. Mieczyslaw A. Klopotek
      Pages 97-110
    4. Jan M. Żytkow, Daniel Arredondo
      Pages 121-131
  4. Biologically Motivated Methods

    1. Andrzej Obuchowicz
      Pages 133-142
    2. Andrzej Ossowski, Anna Święcicka
      Pages 143-154
    3. Anna Święcicka, Franciszek Seredyński, Mariusz Jażdżyk
      Pages 155-166
    4. Sławomir T. Wierzchoń
      Pages 167-178
  5. Learning and Reasoning Under Uncertainty

    1. Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, Maciej Michalewicz, Marek Bednarczyk, Wiesław Pawłowski, Andrzej Wąsowski
      Pages 179-193
    2. Halina Kwaśnicka, Marcin Ciosmak
      Pages 195-208
    3. Andrzej Matuszewski, Krzysztof Trojanowski
      Pages 209-220

About these proceedings

Introduction

The book offers a selection of papers presented at the international symposium Intelligent Information Systems X held in Zakopane, Poland. The papers report on progress in theory and applications of broadly understood artificial intelligence, including machine learning, knowledge discovery, knowledge based systems and reasoning, intelligent statistical analysis and soft computing (i.e. fuzzy and rough sets, neural networks, evolutionary algorithms and artificial immune systems). Interesting new theoretical results are presented and their practical applicability demonstrated. The volume also suggests challenging new research issues.

Keywords

Bayesian network Data Mining Evolution Fuzzy Intelligent Information Systems Machine Learning Soft Computing evolutionary algorithm information system knowledge knowledge base knowledge discovery learning optimization verification

Editors and affiliations

  • Mieczysław A. Kłopotek
    • 1
  • Maciej Michalewicz
    • 1
  • Sławomir T. Wierzchoń
    • 1
  1. 1.Polish Academy of SciencesWarsawPoland

Bibliographic information

  • Copyright Information Physica-Verlag Heidelberg 2001
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-1407-1
  • Online ISBN 978-3-7908-1813-0
  • Series Print ISSN 1867-5662
  • Series Online ISSN 1867-5670