Data Mining

Theoretical Computer Science Group, Hasselt University

Description

Our research is mainly focused on the following topics
  • improving rule mining algorithms
  • exploiting constraints within rule mining algorithms
  • conjunctive queries as patterns
  • inductive databases
  • graph mining

People involved

Collaborators

Awards

  • IEEE 2001 International Conference on Data Mining, Best Paper Award,
    ``A Tight Upper Bound on the Number of Candidate Patterns'',
    by Floris Geerts, Bart Goethals, Jan Van den Bussche.
  • European Conference on Principles of Data Mining and Knowledge Discovery,
    KDNet Best PKDD-2002 Paper Award,
    ``Mining All Non-Derivable Frequent Itemsets'',
    by Toon Calders, Bart Goethals.

Publications

  1. "Decision support queries for the interpretation of data mining results"
    B.Goethals, J. Van den Bussche, K. Vanhoof.
    Manuscript 1998.
  2. "A priori versus a posteriori filtering of association rules"
    B. Goethals, J. Van den Bussche.
    Presented at the Workshop on Research Issues in Data Mining and Knowledge Discovery.
    May 30, 1999, Philadelphia, USA.
  3. "Interactive Constrained Association Rule Mining"
    B. Goethals, J. Van den Bussche.
    Extended version of the paper "On Supporting Interactive Association Rule Mining" in Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery,
    Lecture Notes in Computer Science, Volume 1874, ©Springer-Verlag.
    September 4-6, 2000, London-Greenwich, United Kingdom.
    Also available in the Computing Research Repository: cs.DB/0112011
  4. "A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model"
    T. Brijs, B. Goethals, G. Swinnen, K. Vanhoof, G. Wets.
    In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
    August 20-23, 2000, Boston, MA, USA.
    Also available in the Computing Research Repository: cs.DB/0112013
  5. "A tight upper bound on the number of candidate patterns"
    F. Geerts, B. Goethals, J. Van den Bussche.
    In Proceedings of the First IEEE International Conference on Data Mining.
    November 29 - December 2, 2001, San Jose, CA, USA.
    Winner IEEE ICDM'01 Best Paper Award.
    Also available in the Computing Research Repository: cs.DB/0112007
  6. "Mining all Non-Derivable Frequent Itemsets"
    T. Calders, B. Goethals.
    Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02)
    Lecture Notes in Artificial Intelligence, ©Springer-Verlag.
    August 19-23, 2002, Helsinki, Finland.
    Winner KDNet Best PKDD-2002 Paper Award
    Also available in the Computing Research Repository: cs.DB/0206004
  7. "Information extraction in structured documents using tree automata induction"
    R. Kosala, J. Van den Bussche, H. Blockeel, M. Bruynooghe.
    Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02)
    Lecture Notes in Artificial Intelligence, ©Springer-Verlag.
    August 19-23, 2002, Helsinki, Finland.
  8. "Relational Association Rules: getting WARMeR"
    B. Goethals, J. Van den Bussche
    Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery in Data Mining.
    Lecture Notes in Computer Science, Volume 2447, ©Springer-Verlag.
    September 16-18, 2002, Imperial College, London, UK.
    Also available in the Computing Research Repository: cs.DB/0206023
  9. "Information extraction from Web documents based on local unranked tree automaton inference"
    R. Kosala, H. Blockeel, M. Bruynooghe, J. Van den Bussche
    Presented at IJCAI 2003.
  10. "Tight upper bounds on the number of candidate patterns"
    F. Geerts, B. Goethals, J. Van den Bussche.
    ACM Transactions on Database Systems, Volume 30, Issue 2 (June 2005), pages 333-363, ©ACM. (Journal version of the 2001 ICDM paper)
  11. "Mining Tree Queries in a Graph"
    B. Goethals, E. Hoekx, J. Van den Bussche
    In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD),©ACM
    August 21-25, 2005, Chicago, US.
  12. "Mining for Tree-Query Associations in a Graph"
    E. Hoekx, J. Van den Bussche
    In Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM),©IEEE
    December 18-21, 2006, Hong Kong.

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