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Knowledge Discovery in Inductive Databases

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

  • Bart Goethals
  • Arno Siebes
Conference proceedings KDID 2004

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

Table of contents

  1. Front Matter
    PDF

  2. Invited Paper

    1. Models and Indices for Integrating Unstructured Data with a Relational Database
      Sunita Sarawagi
      Pages 1-10

  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
    PDF

About these proceedings

Keywords

Pattern Mining algorithms association rules data integration data mining data models data patterns formal concept mining inductive databases inductive generalizations knowledge discovery pattern discovery relational databases

Editors and affiliations

  • Bart Goethals
    • 1
  • Arno Siebes
    • 2
  1. 1.Mathematics and computer Science DepartmentUniversity of AntwerpAntwerpBelgium
  2. 2.Department of Computer ScienceUniversiteit Utrecht 

Bibliographic information