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Principles of Data Mining and Knowledge Discovery

Third European Conference, PKDD’99, Prague, Czech Republic, September 15-18, 1999. Proceedings

  • Jan M. Żytkow
  • Jan Rauch

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1704)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1704)

Table of contents

  1. Front Matter
  2. Session 1A - Time Series

  3. Session 1B - Applications

  4. Session 2A - Taxonomies and Partitions

  5. Session 2B - Logic Methods

  6. Session 3A - Distributed and Multirelational Databases

    1. Ning Zhong, Y. Y. Yao, Setsuo Ohsuga
      Pages 136-146
    2. Rónán Páircéir, Sally McClean, Bryan Scotney
      Pages 156-164
  7. Session 3B - Text Mining and Feature Selection

    1. Ronen Feldman, Yonatan Aumann, Moshe Fresko, Orly Liphstat, Binyamin Rosenfeld, Yonatan Schler
      Pages 165-173
    2. Chris Clifton, Robert Cooley
      Pages 174-183
    3. M. Sebban, D. A. Zighed, S. Di Palma
      Pages 184-192
  8. Session 4A - Rules and Induction

    1. Thomas Ågotnes, Jan Komorowski, Terje Løken
      Pages 193-203
    2. Dmitry Zelenko
      Pages 204-213
    3. Marc Sebban, Richard Nock
      Pages 214-222
  9. Session 5A - Interesting and Unusual

    1. Robert J. Hilderman, Howard J. Hamilton
      Pages 232-241
    2. Thomas Wittmann, Johannes Ruhland, Matthias Eichholz
      Pages 242-250
    3. Uzi Murad, Gadi Pinkas
      Pages 251-261
    4. Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jörg Sander
      Pages 262-270
  10. Posters

    1. Érick Alphonse, Céline Rouveirol
      Pages 271-276
    2. Yonatan Aumann, Ronen Feldman, Yaron Ben Yehuda, David Landau, Orly Liphstat, Yonatan Schler
      Pages 277-282
    3. Robert Cattral, Franz Oppacher, Dwight Deugo
      Pages 289-294
    4. Xiaodong Chen, Ilias Petrounias
      Pages 295-300
    5. F. Coenen, G. Swinnen, K. Vanhoof, G. Wets
      Pages 301-308
    6. Richard Cole, Peter Eklund
      Pages 309-315
    7. María C. Fernandez-Baizán, Ernestina Menasalvas Ruiz, José M. Peña Sánchez, Socorro Millán, Eloina Mesa
      Pages 335-340
    8. Cristina S. Fertig, Alex A. Freitas, Lucia V. R. Arruda, Celso Kaestner
      Pages 341-347
    9. Javier Raymundo García-Serrano, José Francisco Martínez-Trinidad
      Pages 354-359
    10. Claire J. Kennedy, Christophe Giraud-Carrier, Douglas W. Bristol
      Pages 360-365
    11. Mika Klemettinen, Heikki Mannila, A. Inkeri Verkamo
      Pages 372-377
    12. Arno J. Knobbe, Arno Siebes, Daniël van der Wallen
      Pages 378-383

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999.
The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.

Keywords

Data Mining Information Extraction Intelligent Data Analysis Text Mining database knowledge knowledge discovery logic

Editors and affiliations

  • Jan M. Żytkow
    • 1
  • Jan Rauch
    • 2
  1. 1.Computer Science DepartmentUNC Charlotte, Charlotte, N.C. 28223 and Institute of Computer Science, Polish Academy of Sciences 
  2. 2.Faculty of Informatics and StatisticsUniversity of Economics, PraguePragueCzech Republic

Bibliographic information

  • DOI https://doi.org/10.1007/b72280
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66490-1
  • Online ISBN 978-3-540-48247-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site