The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.071secs, Finished in 0.074secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002