© 2008

Foundations of Intelligent Systems

17th International Symposium, ISMIS 2008 Toronto, Canada, May 20-23, 2008 Proceedings

  • Editors
  • Aijun An
  • Stan Matwin
  • Zbigniew W. Raś
  • Dominik Ślęzak
Conference proceedings ISMIS 2008

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4994)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4994)

Table of contents

  1. Front Matter
  2. Invited Papers

    1. Yijun Yu, Alexei Lapouchnian, Sotirios Liaskos, John Mylopoulos, Julio C. S. P. Leite
      Pages 1-16
  3. Knowledge Discovery and Data Mining - Foundations

    1. Benjamin X. Wang, Nathalie Japkowicz
      Pages 38-47
    2. José-Luis Polo, Fernando Berzal, Juan-Carlos Cubero
      Pages 48-57
    3. Simon Marcellin, Djamel A. Zighed, Gilbert Ritschard
      Pages 58-67
    4. Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara
      Pages 68-77
    5. N. Di Mauro, T. M. A. Basile, S. Ferilli, F. Esposito
      Pages 78-83
  4. Knowledge Discovery and Data Mining - Advances

    1. Tapio Elomaa, Petri Lehtinen, Matti Saarela
      Pages 90-99
    2. Aída Jiménez, Fernando Berzal, Juan-Carlos Cubero
      Pages 111-120
    3. Vassiliki Koutsonikola, Athena Vakali, Antonios Mpalasas, Michael Valavanis
      Pages 121-130
    4. Frédéric Flouvat, Fabien De Marchi, Jean-Marc Petit
      Pages 131-136
    5. Nicola Fanizzi, Claudia d’Amato, Floriana Esposito
      Pages 137-142
    6. Lucantonio Ghionna, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
      Pages 150-159
  5. Knowledge Discovery and Data Mining - Mining Changes and Actionable Patterns

    1. Seunghyun Im, Zbigniew W. Raś
      Pages 160-168
    2. Li-Shiang Tsay, Zbigniew W. Raś
      Pages 169-178

About these proceedings


This book constitutes the refereed proceedings of the 17th International Symposium on Methodologies for Intelligent Systems, ISMIS 2008, held in Toronto, Canada, in May 2008.

The 68 revised papers presented together with 3 plenary talks were carefully reviewed and selected from over 100 submissions. The papers are organized in topical sections on knowledge discovery and data mining: foundations, advances, mining changes and actional patterns; logic for artificial intelligence, autonomic and evolutionary computation, soft computing, databases and data warehouses, digital library, intelligent information retrieval, text mining, intelligent information systems, knowledge representation and integration, Web service and intelligence, as well as applications.


Artificial intelligence autonom data mining data warehouse evolution evolutionary computation information system intelligence intelligent systems knowledge knowledge discovery knowledge representation logic text mining

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