![]() | ![]() |
| 2012 | ||
|---|---|---|
| 65 | Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet: An inductive database system based on virtual mining views. Data Min. Knowl. Discov. 24(1): 247-287 (2012) | |
| 2011 | ||
| 64 | Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals: "Tell Me More": Finding Related Items from User Provided Feedback. Discovery Science 2011: 76-90 | |
| 63 | Bart Goethals, Sandy Moens, Jilles Vreeken: MIME: A Framework for Interactive Visual Pattern Mining. ECML/PKDD (3) 2011: 634-637 | |
| 62 | Jeroen De Knijf, Anthony M. L. Liekens, Walter Daelemans, Peter De Rijk, Jurgen Del-Favero, Bart Goethals: BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain. ICDM Workshops 2011: 1223-1226 | |
| 61 | Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven: Mining Train Delays. IDA 2011: 113-124 | |
| 60 | Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals: GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service. IDA 2011: 138-149 | |
| 59 | Bart Goethals, Sandy Moens, Jilles Vreeken: MIME: a framework for interactive visual pattern mining. KDD 2011: 757-760 | |
| 58 | Trung N. Vu, Dirk Valkenborg, Koen Smets, Kim A. Verwaest, Roger Dommisse, Filip Lemière, Alain Verschoren, Bart Goethals, Kris Laukens: An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data. BMC Bioinformatics 12: 405 (2011) | |
| 2010 | ||
| 57 | Bart Goethals, Dominique Laurent, Wim Le Page: Discovery and Application of Functional Dependencies in Conjunctive Query Mining. DaWak 2010: 142-156 | |
| 56 | Toon Calders, Calin Garboni, Bart Goethals: Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM 2010: 749-754 | |
| 55 | Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart Goethals: Predicting the severity of a reported bug. MSR 2010: 1-10 | |
| 54 | Boris Cule, Bart Goethals: Mining Association Rules in Long Sequences. PAKDD (1) 2010: 300-309 | |
| 53 | Toon Calders, Calin Garboni, Bart Goethals: Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) 2010: 480-487 | |
| 52 | Bart Goethals, Wim Le Page, Michael Mampaey: Mining interesting sets and rules in relational databases. SAC 2010: 997-1001 | |
| 51 | Bart Goethals: Frequent Set Mining. Data Mining and Knowledge Discovery Handbook 2010: 321-338 | |
| 50 | Jilles Vreeken, Nikolaj Tatti, Bart Goethals: Useful patterns (UP'10) ACM SIGKDD workshop report. SIGKDD Explorations 12(2): 56-58 (2010) | |
| 49 | Bart Goethals, Jian Pei: Special issue on the best papers of SDM'10. Statistical Analysis and Data Mining 3(6): 359-360 (2010) | |
| 2009 | ||
| 48 | Boris Cule, Bart Goethals, Céline Robardet: A New Constraint for Mining Sets in Sequences. SDM 2009: 317-328 | |
| 47 | Roberto Trasarti, Francesco Bonchi, Bart Goethals: A new technique for sequential pattern mining under regular expressions. SEBD 2009: 325-332 | |
| 46 | Bart Goethals: Apriori Property and Breadth-First Search Algorithms. Encyclopedia of Database Systems 2009: 124-127 | |
| 2008 | ||
| 45 | Walter Daelemans, Bart Goethals, Katharina Morik: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I Springer 2008 | |
| 44 | Walter Daelemans, Bart Goethals, Katharina Morik: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II Springer 2008 | |
| 43 | Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado: Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611 | |
| 42 | Roberto Trasarti, Francesco Bonchi, Bart Goethals: Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. ICDM 2008: 1061-1066 | |
| 41 | Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet: An inductive database prototype based on virtual mining views. KDD 2008: 1061-1064 | |
| 40 | Bart Goethals, Wim Le Page, Heikki Mannila: Mining Association Rules of Simple Conjunctive Queries. SDM 2008: 96-107 | |
| 39 | Walter Daelemans, Bart Goethals, Katharina Morik: Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008. Data Min. Knowl. Discov. 17(1): 1-2 (2008) | |
| 38 | Toon Calders, Nele Dexters, Bart Goethals: Mining frequent items in a stream using flexible windows. Intell. Data Anal. 12(3): 293-304 (2008) | |
| 37 | Walter Daelemans, Bart Goethals, Katharina Morik: Guest Editors' introduction: special issue of selected papers from ECML PKDD 2008. Machine Learning 72(3): 155-156 (2008) | |
| 2007 | ||
| 36 | Bart Goethals: Finding interesting queries in relational databases. EGC 2007: 5 | |
| 35 | Toon Calders, Nele Dexters, Bart Goethals: Mining Frequent Itemsets in a Stream. ICDM 2007: 83-92 | |
| 34 | Toon Calders, Bart Goethals, Michael Mampaey: Mining itemsets in the presence of missing values. SAC 2007: 404-408 | |
| 33 | Toon Calders, Bart Goethals: Non-derivable itemset mining. Data Min. Knowl. Discov. 14(1): 171-206 (2007) | |
| 2006 | ||
| 32 | Toon Calders, Bart Goethals, Szymon Jaroszewicz: Mining rank-correlated sets of numerical attributes. KDD 2006: 96-105 | |
| 31 | Toon Calders, Bart Goethals, Adriana Prado: Integrating Pattern Mining in Relational Databases. PKDD 2006: 454-461 | |
| 2005 | ||
| 30 | Bart Goethals, Arno Siebes: KDID 2004, Knowledge Discovery in Inductive Databases, Proceedings of the Third International Workshop on Knowledge Discovery inInductive Databases, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers Springer 2005 | |
| 29 | Bart Goethals, Eveline Hoekx, Jan Van den Bussche: Mining Tree Queries in a Graph. BNAIC 2005: 345-346 | |
| 28 | Bart Goethals, Eveline Hoekx, Jan Van den Bussche: Mining tree queries in a graph. KDD 2005: 61-69 | |
| 27 | Toon Calders, Bart Goethals: Quick Inclusion-Exclusion. KDID 2005: 86-103 | |
| 26 | Toon Calders, Bart Goethals: Depth-First Non-Derivable Itemset Mining. SDM 2005 | |
| 25 | Bart Goethals, Juho Muhonen, Hannu Toivonen: Mining Non-Derivable Association Rules. SDM 2005 | |
| 24 | Bart Goethals: Frequent Set Mining. The Data Mining and Knowledge Discovery Handbook 2005: 377-397 | |
| 23 | Floris Geerts, Bart Goethals, Jan Van den Bussche: Tight upper bounds on the number of candidate patterns. ACM Trans. Database Syst. 30(2): 333-363 (2005) | |
| 22 | Bart Goethals, Siegfried Nijssen, Mohammed Javeed Zaki: Open source data mining: workshop report. SIGKDD Explorations 7(2): 143-144 (2005) | |
| 2004 | ||
| 21 | Roberto J. Bayardo Jr., Bart Goethals, Mohammed Javeed Zaki: FIMI '04, Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations, Brighton, UK, November 1, 2004 CEUR-WS.org 2004 | |
| 20 | Floris Geerts, Bart Goethals, Taneli Mielikäinen: Tiling Databases. Discovery Science 2004: 278-289 | |
| 19 | Bart Goethals, Sven Laur, Helger Lipmaa, Taneli Mielikäinen: On Private Scalar Product Computation for Privacy-Preserving Data Mining. ICISC 2004: 104-120 | |
| 18 | Francesco Bonchi, Bart Goethals: FP-Bonsai: The Art of Growing and Pruning Small FP-Trees. PAKDD 2004: 155-160 | |
| 17 | Bart Goethals: Memory issues in frequent itemset mining. SAC 2004: 530-534 | |
| 16 | Bart Goethals, Mohammed Javeed Zaki: Advances in frequent itemset mining implementations: report on FIMI'03. SIGKDD Explorations 6(1): 109-117 (2004) | |
| 2003 | ||
| 15 | Bart Goethals, Mohammed Javeed Zaki: FIMI '03, Frequent Itemset Mining Implementations, Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations, 19 December 2003, Melbourne, Florida, USA CEUR-WS.org 2003 | |
| 14 | Bart Goethals, Mohammed Javeed Zaki: Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03. FIMI 2003 | |
| 13 | Floris Geerts, Bart Goethals, Taneli Mielikäinen: What You Store is What You Get. KDID 2003: 60-69 | |
| 12 | Toon Calders, Bart Goethals: Minimal k-Free Representations of Frequent Sets. PKDD 2003: 71-82 | |
| 2002 | ||
| 11 | Toon Calders, Bart Goethals: Mining All Non-derivable Frequent Itemsets. PKDD 2002: 74-85 | |
| 10 | Bart Goethals, Jan Van den Bussche: Relational Association Rules: Getting WARMeR. Pattern Detection and Discovery 2002: 125-139 | |
| 9 | Toon Calders, Bart Goethals: Mining All Non-Derivable Frequent Itemsets CoRR cs.DB/0206004: (2002) | |
| 8 | Bart Goethals, Jan Van den Bussche: Relational Association Rules: getting WARMeR CoRR cs.DB/0206023: (2002) | |
| 2001 | ||
| 7 | Floris Geerts, Bart Goethals, Jan Van den Bussche: A Tight Upper Bound on the Number of Candidate Patterns. ICDM 2001: 155-162 | |
| 6 | Floris Geerts, Bart Goethals, Jan Van den Bussche: A Tight Upper Bound on the Number of Candidate Patterns CoRR cs.DB/0112007: (2001) | |
| 5 | Bart Goethals, Jan Van den Bussche: Interactive Constrained Association Rule Mining CoRR cs.DB/0112011: (2001) | |
| 4 | 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 CoRR cs.DB/0112013: (2001) | |
| 2000 | ||
| 3 | Bart Goethals, Jan Van den Bussche: On Supporting Interactive Association Rule Mining. DaWaK 2000: 307-316 | |
| 2 | 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. KDD 2000: 300-304 | |
| 1999 | ||
| 1 | Bart Goethals, Jan Van den Bussche: A priori versus a posteriori filtering of association rules. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 | |
Colors in the list of coauthors
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