Table of contents

  1. Front Matter
  2. Alan W. Biermann, Curry Guinn, Michael S. Fulkerson, Greg A. Keim, Zheng Liang, Douglas M. Melamed et al.
    Pages 1-16
  3. Wesley W. Chu, Alfonso F. Cárdenas, Ricky K. Taira
    Pages 17-34
  4. Michael Lowry, Klaus Havelund, John Penix
    Pages 35-47
  5. Gregory Piatetsky-Shapiro
    Pages 48-49
  6. Stefan Conrad, Gunter Saake
    Pages 60-71
  7. M. Botta, A. Giordana, R. Piola
    Pages 84-93
  8. Ning Zhong, Chunnian Liu, Setsuo Ohsuga
    Pages 94-105
  9. Hung Son Nguyen, Andrzej Skowron
    Pages 117-126
  10. Lorenza Saitta, Filippo Neri, Andrée Tibergh
    Pages 127-136
  11. Ronen Feldman, Willi Klösgen, Amir Zilberstein
    Pages 137-146
  12. Tapio Elomaa, Juho Rousu
    Pages 147-156
  13. Janusz Kacprzyk, Grażyna Szkatula
    Pages 157-166
  14. Lionel Martin, Christel Vrain
    Pages 167-176
  15. Jian Zhang, Howard J. Hamilton
    Pages 177-186
  16. S. C. Yoon
    Pages 187-196

About these proceedings


This book constitutes the refereed proceedings of the 10th International Symposium on Methodologies for Intelligent Systems, ISMIS'97, held in Charlotte, NC, USA, in October 1997. The 57 revised full papers were selected from a total of 117 submissions. Also included are four invited papers. Among the topics covered are intelligent information systems, approximate reasoning, evolutionary computation, knowledge representation and integration, learning and knowledge discovery, AI-Logics, discovery systems, data mining, query processing, etc.


Powerset cognition decision support system evolutionary computation information system knowledge base knowledge discovery knowledge representation machine learning modeling multimedia neural network robot uncertain reasoning verification

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-63614-4
  • Online ISBN 978-3-540-69612-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book