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Bart Goethals: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bart Goethals, Eveline Hoekx, Jan Van den Bussche
    Mining Tree Queries in a Graph. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:345-346 [Conf]
  2. Bart Goethals, Jan Van den Bussche
    On Supporting Interactive Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2000, pp:307-316 [Conf]
  3. Floris Geerts, Bart Goethals, Taneli Mielikäinen
    Tiling Databases. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:278-289 [Conf]
  4. Bart Goethals, Jan Van den Bussche
    A priori versus a posteriori filtering of association rules. [Citation Graph (0, 0)][DBLP]
    1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999, pp:- [Conf]
  5. Bart Goethals, Jan Van den Bussche
    Relational Association Rules: Getting WARMeR. [Citation Graph (0, 0)][DBLP]
    Pattern Detection and Discovery, 2002, pp:125-139 [Conf]
  6. Bart Goethals
    Finding interesting queries in relational databases. [Citation Graph (0, 0)][DBLP]
    EGC, 2007, pp:5- [Conf]
  7. Bart Goethals, Mohammed Javeed Zaki
    Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03. [Citation Graph (0, 0)][DBLP]
    FIMI, 2003, pp:- [Conf]
  8. Floris Geerts, Bart Goethals, Jan Van den Bussche
    A Tight Upper Bound on the Number of Candidate Patterns. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:155-162 [Conf]
  9. Bart Goethals, Sven Laur, Helger Lipmaa, Taneli Mielikäinen
    On Private Scalar Product Computation for Privacy-Preserving Data Mining. [Citation Graph (0, 0)][DBLP]
    ICISC, 2004, pp:104-120 [Conf]
  10. Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:300-304 [Conf]
  11. Toon Calders, Bart Goethals, Szymon Jaroszewicz
    Mining rank-correlated sets of numerical attributes. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:96-105 [Conf]
  12. Bart Goethals, Eveline Hoekx, Jan Van den Bussche
    Mining tree queries in a graph. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:61-69 [Conf]
  13. Toon Calders, Bart Goethals
    Quick Inclusion-Exclusion. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:86-103 [Conf]
  14. Floris Geerts, Bart Goethals, Taneli Mielikäinen
    What You Store is What You Get. [Citation Graph (0, 0)][DBLP]
    KDID, 2003, pp:60-69 [Conf]
  15. Francesco Bonchi, Bart Goethals
    FP-Bonsai: The Art of Growing and Pruning Small FP-Trees. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:155-160 [Conf]
  16. Toon Calders, Bart Goethals
    Mining All Non-derivable Frequent Itemsets. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:74-85 [Conf]
  17. Toon Calders, Bart Goethals
    Minimal k-Free Representations of Frequent Sets. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:71-82 [Conf]
  18. Toon Calders, Bart Goethals, Adriana Prado
    Integrating Pattern Mining in Relational Databases. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:454-461 [Conf]
  19. Bart Goethals
    Memory issues in frequent itemset mining. [Citation Graph (0, 0)][DBLP]
    SAC, 2004, pp:530-534 [Conf]
  20. Toon Calders, Bart Goethals, Michael Mampaey
    Mining itemsets in the presence of missing values. [Citation Graph (0, 0)][DBLP]
    SAC, 2007, pp:404-408 [Conf]
  21. Bart Goethals, Juho Muhonen, Hannu Toivonen
    Mining Non-Derivable Association Rules. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  22. Toon Calders, Bart Goethals
    Depth-First Non-Derivable Itemset Mining. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  23. Floris Geerts, Bart Goethals, Jan Van den Bussche
    A Tight Upper Bound on the Number of Candidate Patterns [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  24. Bart Goethals, Jan Van den Bussche
    Interactive Constrained Association Rule Mining [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  25. Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets
    A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  26. Toon Calders, Bart Goethals
    Mining All Non-Derivable Frequent Itemsets [Citation Graph (0, 0)][DBLP]
    CoRR, 2002, v:0, n:, pp:- [Journal]
  27. Bart Goethals, Jan Van den Bussche
    Relational Association Rules: getting WARMeR [Citation Graph (0, 0)][DBLP]
    CoRR, 2002, v:0, n:, pp:- [Journal]
  28. Bart Goethals, Siegfried Nijssen, Mohammed Javeed Zaki
    Open source data mining: workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2005, v:7, n:2, pp:143-144 [Journal]
  29. Bart Goethals, Mohammed Javeed Zaki
    Advances in frequent itemset mining implementations: report on FIMI'03. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:1, pp:109-117 [Journal]
  30. Floris Geerts, Bart Goethals, Jan Van den Bussche
    Tight upper bounds on the number of candidate patterns. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Database Syst., 2005, v:30, n:2, pp:333-363 [Journal]
  31. Toon Calders, Bart Goethals
    Non-derivable itemset mining. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:14, n:1, pp:171-206 [Journal]

  32. Discovery and Application of Functional Dependencies in Conjunctive Query Mining. [Citation Graph (, )][DBLP]


  33. Mining Views: Database Views for Data Mining. [Citation Graph (, )][DBLP]


  34. Mining Frequent Itemsets in a Stream. [Citation Graph (, )][DBLP]


  35. Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. [Citation Graph (, )][DBLP]


  36. An inductive database prototype based on virtual mining views. [Citation Graph (, )][DBLP]


  37. Predicting the severity of a reported bug. [Citation Graph (, )][DBLP]


  38. Efficient Pattern Mining of Uncertain Data with Sampling. [Citation Graph (, )][DBLP]


  39. Mining Association Rules in Long Sequences. [Citation Graph (, )][DBLP]


  40. Mining interesting sets and rules in relational databases. [Citation Graph (, )][DBLP]


  41. Mining Association Rules of Simple Conjunctive Queries. [Citation Graph (, )][DBLP]


  42. A New Constraint for Mining Sets in Sequences. [Citation Graph (, )][DBLP]


  43. A new technique for sequential pattern mining under regular expressions. [Citation Graph (, )][DBLP]


  44. Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008. [Citation Graph (, )][DBLP]


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