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Knowledge Discovery in Inductive Databases

5th International Workshop, KDID 2006 Berlin, Germany, September 18, 2006 Revised Selected and Invited Papers

  • Editors
  • Sašo Džeroski
  • Jan Struyf
Conference proceedings KDID 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4747)

Table of contents

  1. Front Matter
  2. Invited Talk

  3. Contributed Papers

    1. Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut
      Pages 11-23
    2. Stefano Bistarelli, Francesco Bonchi
      Pages 24-41
    3. Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti
      Pages 42-62
    4. Sašo Džeroski, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf
      Pages 63-80
    5. Élisa Fromont, Hendrik Blockeel, Jan Struyf
      Pages 81-96
    6. Kenneth A. Kaufman, Ryszard S. Michalski, Jarosław Pietrzykowski, Janusz Wojtusiak
      Pages 116-133
    7. Dragi Kocev, Jan Struyf, Sašo Džeroski
      Pages 134-151
    8. Mirco Nanni, Christophe Rigotti
      Pages 170-188
    9. Siegfried Nijssen, Luc De Raedt
      Pages 189-207
    10. François Rioult, Bruno Crémilleux
      Pages 208-222
    11. Arnaud Soulet, Jiří Kléma, Bruno Crémilleux
      Pages 223-239
    12. Marek Wojciechowski, Krzysztof Galecki, Krzysztof Gawronek
      Pages 240-258
  4. Discussion Paper

    1. Sašo Džeroski
      Pages 259-300
  5. Back Matter

About these proceedings

Keywords

Pattern Mining classification clustering constraint-based mining data management data mining database inductive databases knowledge discovery learning machine learning multi-objective regression query languages query optimization relational database

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-75549-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-75548-7
  • Online ISBN 978-3-540-75549-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site