Bart Goethals

Antonio Gomariz, Manuel Campos, Roque Marín, Bart Goethals: ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences. PAKDD (1) 2013: 50-61

Boris Cule, Bart Goethals, Tayena Hendrickx: Mining Interesting Itemsets in Graph Datasets. PAKDD (1) 2013: 237-248

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)

Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoff J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane: Top-10 Data Mining Case Studies. International Journal of Information Technology and Decision Making 11(2): 389-400 (2012)

Bart Goethals, Dominique Laurent, Wim Le Page, Cheikh Tidiane Dieng: Mining frequent conjunctive queries in relational databases through dependency discovery. Knowl. Inf. Syst. 33(3): 655-684 (2012)

Bart Goethals: Cartification: From Similarities to Itemset Frequencies. ICFCA 2012: 4

Boris Cule, Nikolaj Tatti, Bart Goethals: MARBLES: Mining Association Rules Buried in Long Event Sequences. SDM 2012: 248-259

Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu (Eds.): 12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012. IEEE Computer Society 2012, isbn 978-1-4673-4649-8

Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu (Eds.): 12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012. IEEE Computer Society 2012, isbn 978-1-4673-5164-5

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)

Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals: "Tell Me More": Finding Related Items from User Provided Feedback. Discovery Science 2011: 76-90

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

Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven: Mining Train Delays. IDA 2011: 113-124

Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals: GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service. IDA 2011: 138-149

Bart Goethals, Sandy Moens, Jilles Vreeken: MIME: a framework for interactive visual pattern mining. KDD 2011: 757-760

Bart Goethals, Sandy Moens, Jilles Vreeken: MIME: A Framework for Interactive Visual Pattern Mining. ECML/PKDD (3) 2011: 634-637

Bart Goethals, Jian Pei: Special issue on the best papers of SDM'10. Statistical Analysis and Data Mining 3(6): 359-360 (2010)

Jilles Vreeken, Nikolaj Tatti, Bart Goethals: Useful patterns (UP'10) ACM SIGKDD workshop report. SIGKDD Explorations 12(2): 56-58 (2010)

Bart Goethals, Dominique Laurent, Wim Le Page: Discovery and Application of Functional Dependencies in Conjunctive Query Mining. DaWak 2010: 142-156

Toon Calders, Calin Garboni, Bart Goethals: Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM 2010: 749-754

Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart Goethals: Predicting the severity of a reported bug. MSR 2010: 1-10

Boris Cule, Bart Goethals: Mining Association Rules in Long Sequences. PAKDD (1) 2010: 300-309

Toon Calders, Calin Garboni, Bart Goethals: Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) 2010: 480-487

Bart Goethals, Wim Le Page, Michael Mampaey: Mining interesting sets and rules in relational databases. SAC 2010: 997-1001

Bart Goethals: Frequent Set Mining. Data Mining and Knowledge Discovery Handbook 2010: 321-338

Boris Cule, Bart Goethals, Céline Robardet: A New Constraint for Mining Sets in Sequences. SDM 2009: 317-328

Roberto Trasarti, Francesco Bonchi, Bart Goethals: A new technique for sequential pattern mining under regular expressions. SEBD 2009: 325-332

Bart Goethals: Apriori Property and Breadth-First Search Algorithms. Encyclopedia of Database Systems 2009: 124-127

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)

Toon Calders, Nele Dexters, Bart Goethals: Mining frequent items in a stream using flexible windows. Intell. Data Anal. 12(3): 293-304 (2008)

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)

Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado: Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611

Roberto Trasarti, Francesco Bonchi, Bart Goethals: Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. ICDM 2008: 1061-1066

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

Bart Goethals, Wim Le Page, Heikki Mannila: Mining Association Rules of Simple Conjunctive Queries. SDM 2008: 96-107

Walter Daelemans, Bart Goethals, Katharina Morik (Eds.): Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5211, Springer 2008, isbn 978-3-540-87478-2

Walter Daelemans, Bart Goethals, Katharina Morik (Eds.): Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5212, Springer 2008, isbn 978-3-540-87480-5

Toon Calders, Bart Goethals: Non-derivable itemset mining. Data Min. Knowl. Discov. 14(1): 171-206 (2007)

Bart Goethals: Finding interesting queries in relational databases. EGC 2007: 5

Toon Calders, Nele Dexters, Bart Goethals: Mining Frequent Itemsets in a Stream. ICDM 2007: 83-92

Toon Calders, Bart Goethals, Michael Mampaey: Mining itemsets in the presence of missing values. SAC 2007: 404-408

Toon Calders, Bart Goethals, Szymon Jaroszewicz: Mining rank-correlated sets of numerical attributes. KDD 2006: 96-105

Toon Calders, Bart Goethals, Adriana Prado: Integrating Pattern Mining in Relational Databases. PKDD 2006: 454-461

Bart Goethals, Siegfried Nijssen, Mohammed Javeed Zaki: Open source data mining: workshop report. SIGKDD Explorations 7(2): 143-144 (2005)

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)

Bart Goethals, Eveline Hoekx, Jan Van den Bussche: Mining Tree Queries in a Graph. BNAIC 2005: 345-346

Bart Goethals, Eveline Hoekx, Jan Van den Bussche: Mining tree queries in a graph. KDD 2005: 61-69

Toon Calders, Bart Goethals: Quick Inclusion-Exclusion. KDID 2005: 86-103

Toon Calders, Bart Goethals: Depth-First Non-Derivable Itemset Mining. SDM 2005

Bart Goethals, Juho Muhonen, Hannu Toivonen: Mining Non-Derivable Association Rules. SDM 2005

Bart Goethals: Frequent Set Mining. The Data Mining and Knowledge Discovery Handbook 2005: 377-397

Bart Goethals, Arno Siebes (Eds.): 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. Lecture Notes in Computer Science 3377, Springer 2005, isbn 3-540-25082-4

Bart Goethals, Mohammed Javeed Zaki: Advances in frequent itemset mining implementations: report on FIMI'03. SIGKDD Explorations 6(1): 109-117 (2004)

Floris Geerts, Bart Goethals, Taneli Mielikäinen: Tiling Databases. Discovery Science 2004: 278-289

Bart Goethals, Sven Laur, Helger Lipmaa, Taneli Mielikäinen: On Private Scalar Product Computation for Privacy-Preserving Data Mining. ICISC 2004: 104-120

Francesco Bonchi, Bart Goethals: FP-Bonsai: The Art of Growing and Pruning Small FP-Trees. PAKDD 2004: 155-160

Bart Goethals: Memory issues in frequent itemset mining. SAC 2004: 530-534

Roberto J. Bayardo Jr., Bart Goethals, Mohammed Javeed Zaki (Eds.): FIMI '04, Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations, Brighton, UK, November 1, 2004. CEUR Workshop Proceedings 126, CEUR-WS.org 2004

Bart Goethals, Mohammed Javeed Zaki: Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03. FIMI 2003

Floris Geerts, Bart Goethals, Taneli Mielikäinen: What You Store is What You Get. KDID 2003: 60-69

Toon Calders, Bart Goethals: Minimal k-Free Representations of Frequent Sets. PKDD 2003: 71-82

Bart Goethals, Mohammed Javeed Zaki (Eds.): FIMI '03, Frequent Itemset Mining Implementations, Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations, 19 December 2003, Melbourne, Florida, USA. CEUR Workshop Proceedings 90, CEUR-WS.org 2003

Bart Goethals, Jan Van den Bussche: Relational Association Rules: Getting WARMeR. Pattern Detection and Discovery 2002: 125-139

Toon Calders, Bart Goethals: Mining All Non-derivable Frequent Itemsets. PKDD 2002: 74-85

Toon Calders, Bart Goethals: Mining All Non-Derivable Frequent Itemsets. CoRR cs.DB/0206004 (2002)

Bart Goethals, Jan Van den Bussche: Relational Association Rules: getting WARMeR. CoRR cs.DB/0206023 (2002)

Floris Geerts, Bart Goethals, Jan Van den Bussche: A Tight Upper Bound on the Number of Candidate Patterns. ICDM 2001: 155-162

Floris Geerts, Bart Goethals, Jan Van den Bussche: A Tight Upper Bound on the Number of Candidate Patterns. CoRR cs.DB/0112007 (2001)

Bart Goethals, Jan Van den Bussche: Interactive Constrained Association Rule Mining. CoRR cs.DB/0112011 (2001)

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)

Bart Goethals, Jan Van den Bussche: On Supporting Interactive Association Rule Mining. DaWaK 2000: 307-316

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

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