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Knowledge Discovery in Inductive Databases

Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Bart Goethals

    1. Mathematics and computer Science Department, University of Antwerp, Antwerp, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  2. Arno Siebes

    1. Department of Computer Science, Universiteit Utrecht,  

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3377)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: KDID 2004.

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Table of contents (10 papers)

  1. Front Matter

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  3. Contributed Papers

    1. Constraint Relaxations for Discovering Unknown Sequential Patterns

      • Cláudia Antunes, Arlindo L. Oliveira
      Pages 11-32

    2. Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data

      • Jérémy Besson, Céline Robardet, Jean-François Boulicaut
      Pages 33-45

    3. Theoretical Bounds on the Size of Condensed Representations

      • Nele Dexters, Toon Calders
      Pages 46-65

    4. Mining Interesting XML-Enabled Association Rules with Templates

      • Ling Feng, Tharam Dillon
      Pages 66-88

    5. Database Transposition for Constrained (Closed) Pattern Mining

      • Baptiste Jeudy, François Rioult
      Pages 89-107

    6. An Efficient Algorithm for Mining String Databases Under Constraints

      • Sau Dan Lee, Luc De Raedt
      Pages 108-129

    7. An Automata Approach to Pattern Collections

      • Taneli Mielikäinen
      Pages 130-149

    8. Implicit Enumeration of Patterns

      • Taneli Mielikäinen
      Pages 150-172

    9. Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures

      • Arnaud Soulet, Bruno Crémilleux, François Rioult
      Pages 173-189

  4. Back Matter

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Other volumes

  1. Knowledge Discovery in Inductive Databases

Keywords

Editors and Affiliations

  • Mathematics and computer Science Department, University of Antwerp, Antwerp, Belgium

    Bart Goethals

  • Department of Computer Science, Universiteit Utrecht,  

    Arno Siebes

Bibliographic Information

  • Book Title: Knowledge Discovery in Inductive Databases

  • Book Subtitle: Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers

  • Editors: Bart Goethals, Arno Siebes

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/b106731

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2005

  • Softcover ISBN: 978-3-540-25082-1Published: 23 February 2005

  • eBook ISBN: 978-3-540-31841-5Published: 09 February 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 200

  • Topics: Database Management, Artificial Intelligence

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