2013
65ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences. Antonio Gomariz, Manuel Campos, Roque Marín, Bart Goethals. PAKDD (1) 2013, 50-61. Web SearchBibTeXDownload
64Mining Interesting Itemsets in Graph Datasets. Boris Cule, Bart Goethals, Tayena Hendrickx. PAKDD (1) 2013, 237-248. Web SearchBibTeXDownload
2012
63An inductive database system based on virtual mining views. Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet. Data Min. Knowl. Discov. (24): 247-287 (2012). Web SearchBibTeXDownload
62Cartification: From Similarities to Itemset Frequencies. Bart Goethals. ICFCA 2012, 4. Web SearchBibTeXDownload
61Top-10 Data Mining Case Studies. 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. Zaďane. International Journal of Information Technology and Decision Making (11): 389-400 (2012). Web SearchBibTeXDownload
60Mining frequent conjunctive queries in relational databases through dependency discovery. Bart Goethals, Dominique Laurent, Wim Le Page, Cheikh Tidiane Dieng. Knowl. Inf. Syst. (33): 655-684 (2012). Web SearchBibTeXDownload
59MARBLES: Mining Association Rules Buried in Long Event Sequences. Boris Cule, Nikolaj Tatti, Bart Goethals. SDM 2012, 248-259. Web SearchBibTeXDownload
2011
58An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data. Trung N. Vu, Dirk Valkenborg, Koen Smets, Kim A. Verwaest, Roger Dommisse, Filip Lemičre, Alain Verschoren, Bart Goethals, Kris Laukens. BMC Bioinformatics (12): 405 (2011). Web SearchBibTeXDownload
57"Tell Me More": Finding Related Items from User Provided Feedback. Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals. Discovery Science 2011, 76-90. Web SearchBibTeXDownload
56MIME: A Framework for Interactive Visual Pattern Mining. Bart Goethals, Sandy Moens, Jilles Vreeken. ECML/PKDD (3) 2011, 634-637. Web SearchBibTeXDownload
55BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain. Jeroen De Knijf, Anthony M. L. Liekens, Walter Daelemans, Peter De Rijk, Jurgen Del-Favero, Bart Goethals. ICDM Workshops 2011, 1223-1226. Web SearchBibTeXDownload
54Mining Train Delays. Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven. IDA 2011, 113-124. Web SearchBibTeXDownload
53GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service. Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals. IDA 2011, 138-149. Web SearchBibTeXDownload
52MIME: a framework for interactive visual pattern mining. Bart Goethals, Sandy Moens, Jilles Vreeken. KDD 2011, 757-760. Web SearchBibTeXDownload
2010
51Frequent Set Mining. Bart Goethals. Data Mining and Knowledge Discovery Handbook 2010, 321-338. Web SearchBibTeXDownload
50Discovery and Application of Functional Dependencies in Conjunctive Query Mining. Bart Goethals, Dominique Laurent, Wim Le Page. DaWak 2010, 142-156. Web SearchBibTeXDownload
49Approximation of Frequentness Probability of Itemsets in Uncertain Data. Toon Calders, Calin Garboni, Bart Goethals. ICDM 2010, 749-754. Web SearchBibTeXDownload
48Predicting the severity of a reported bug. Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart Goethals. MSR 2010, 1-10. Web SearchBibTeXDownload
47Efficient Pattern Mining of Uncertain Data with Sampling. Toon Calders, Calin Garboni, Bart Goethals. PAKDD (1) 2010, 480-487. Web SearchBibTeXDownload
46Mining Association Rules in Long Sequences. Boris Cule, Bart Goethals. PAKDD (1) 2010, 300-309. Web SearchBibTeXDownload
45Mining interesting sets and rules in relational databases. Bart Goethals, Wim Le Page, Michael Mampaey. SAC 2010, 997-1001. Web SearchBibTeXDownload
44Useful patterns (UP'10) ACM SIGKDD workshop report. Jilles Vreeken, Nikolaj Tatti, Bart Goethals. SIGKDD Explorations (12): 56-58 (2010). Web SearchBibTeXDownload
43Special issue on the best papers of SDM'10. Bart Goethals, Jian Pei. Statistical Analysis and Data Mining (3): 359-360 (2010). Web SearchBibTeXDownload
2009
42Apriori Property and Breadth-First Search Algorithms. Bart Goethals. Encyclopedia of Database Systems 2009, 124-127. Web SearchBibTeXDownload
41A New Constraint for Mining Sets in Sequences. Boris Cule, Bart Goethals, Céline Robardet. SDM 2009, 317-328. Web SearchBibTeXDownload
40A new technique for sequential pattern mining under regular expressions. Roberto Trasarti, Francesco Bonchi, Bart Goethals. SEBD 2009, 325-332. Web SearchBibTeX
2008
39Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008. Walter Daelemans, Bart Goethals, Katharina Morik. Data Min. Knowl. Discov. (17): 1-2 (2008). Web SearchBibTeXDownload
38Mining Views: Database Views for Data Mining. Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado. ICDE 2008, 1608-1611. Web SearchBibTeXDownload
37Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. Roberto Trasarti, Francesco Bonchi, Bart Goethals. ICDM 2008, 1061-1066. Web SearchBibTeXDownload
36Mining frequent items in a stream using flexible windows. Toon Calders, Nele Dexters, Bart Goethals. Intell. Data Anal. (12): 293-304 (2008). Web SearchBibTeXDownload
35An inductive database prototype based on virtual mining views. Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet. KDD 2008, 1061-1064. Web SearchBibTeXDownload
34Guest Editors' introduction: special issue of selected papers from ECML PKDD 2008. Walter Daelemans, Bart Goethals, Katharina Morik. Machine Learning (72): 155-156 (2008). Web SearchBibTeXDownload
33Mining Association Rules of Simple Conjunctive Queries. Bart Goethals, Wim Le Page, Heikki Mannila. SDM 2008, 96-107. Cited by 3Web SearchBibTeXDownload
2007
32Non-derivable itemset mining. Toon Calders, Bart Goethals. Data Min. Knowl. Discov. (14): 171-206 (2007). Web SearchBibTeXDownload
31Finding interesting queries in relational databases. Bart Goethals. EGC 2007, 5. Web SearchBibTeX
30Mining Frequent Itemsets in a Stream. Toon Calders, Nele Dexters, Bart Goethals. ICDM 2007, 83-92. Web SearchBibTeXDownload
29Mining itemsets in the presence of missing values. Toon Calders, Bart Goethals, Michael Mampaey. SAC 2007, 404-408. Web SearchBibTeXDownload
2006
28Mining rank-correlated sets of numerical attributes. Toon Calders, Bart Goethals, Szymon Jaroszewicz. KDD 2006, 96-105. Web SearchBibTeXDownload
27Integrating Pattern Mining in Relational Databases. Toon Calders, Bart Goethals, Adriana Prado. PKDD 2006, 454-461. Web SearchBibTeXDownload
2005
26Tight upper bounds on the number of candidate patterns. Floris Geerts, Bart Goethals, Jan Van den Bussche. ACM Trans. Database Syst. (30): 333-363 (2005). Cited by 45Web SearchBibTeXDownload
25Mining Tree Queries in a Graph. Bart Goethals, Eveline Hoekx, Jan Van den Bussche. BNAIC 2005, 345-346. Web SearchBibTeX
24Mining tree queries in a graph. Bart Goethals, Eveline Hoekx, Jan Van den Bussche. KDD 2005, 61-69. Web SearchBibTeXDownload
23Quick Inclusion-Exclusion. Toon Calders, Bart Goethals. KDID 2005, 86-103. Web SearchBibTeXDownload
22Depth-First Non-Derivable Itemset Mining. Toon Calders, Bart Goethals. SDM 2005. Web SearchBibTeX
21Mining Non-Derivable Association Rules. Bart Goethals, Juho Muhonen, Hannu Toivonen. SDM 2005. Web SearchBibTeX
20Open source data mining: workshop report. Bart Goethals, Siegfried Nijssen, Mohammed Javeed Zaki. SIGKDD Explorations (7): 143-144 (2005). Cited by 7Web SearchBibTeXDownload
19Frequent Set Mining. Bart Goethals. The Data Mining and Knowledge Discovery Handbook 2005, 377-397. Web SearchBibTeX
2004
18Tiling Databases. Floris Geerts, Bart Goethals, Taneli Mielikäinen. Discovery Science 2004, 278-289. Cited by 31Web SearchBibTeXDownload
17On Private Scalar Product Computation for Privacy-Preserving Data Mining. Bart Goethals, Sven Laur, Helger Lipmaa, Taneli Mielikäinen. ICISC 2004, 104-120. Web SearchBibTeXDownload
16FP-Bonsai: The Art of Growing and Pruning Small FP-Trees. Francesco Bonchi, Bart Goethals. PAKDD 2004, 155-160. Web SearchBibTeXDownload
15Memory issues in frequent itemset mining. Bart Goethals. SAC 2004, 530-534. Web SearchBibTeXDownload
14Advances in frequent itemset mining implementations: report on FIMI'03. Bart Goethals, Mohammed Javeed Zaki. SIGKDD Explorations (6): 109-117 (2004). Cited by 48Web SearchBibTeXDownload
2003
13Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03. Bart Goethals, Mohammed Javeed Zaki. FIMI 2003. Cited by 42Web SearchBibTeXDownload
12What You Store is What You Get. Floris Geerts, Bart Goethals, Taneli Mielikäinen. KDID 2003, 60-69. Cited by 3Web SearchBibTeX
11Minimal k-Free Representations of Frequent Sets. Toon Calders, Bart Goethals. PKDD 2003, 71-82. Web SearchBibTeXDownload
2002
10Relational Association Rules: getting WARMeR. Bart Goethals, Jan Van den Bussche. CoRR (cs.DB/0206023) (2002). Web SearchBibTeXDownload
9Mining All Non-Derivable Frequent Itemsets. Toon Calders, Bart Goethals. CoRR (cs.DB/0206004) (2002). Web SearchBibTeXDownload
8Relational Association Rules: Getting WARMeR. Bart Goethals, Jan Van den Bussche. Pattern Detection and Discovery 2002, 125-139. Web SearchBibTeXDownload
7Mining All Non-derivable Frequent Itemsets. Toon Calders, Bart Goethals. PKDD 2002, 74-85. Web SearchBibTeXDownload
2001
6A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model. Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets. CoRR (cs.DB/0112013) (2001). Web SearchBibTeXDownload
5Interactive Constrained Association Rule Mining. Bart Goethals, Jan Van den Bussche. CoRR (cs.DB/0112011) (2001). Web SearchBibTeXDownload
4A Tight Upper Bound on the Number of Candidate Patterns. Floris Geerts, Bart Goethals, Jan Van den Bussche. ICDM 2001, 155-162. Web SearchBibTeXDownload
2000
3On Supporting Interactive Association Rule Mining. Bart Goethals, Jan Van den Bussche. DaWaK 2000, 307-316. Web SearchBibTeXDownload
2A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets. KDD 2000, 300-304. Web SearchBibTeXDownload
1999
1A priori versus a posteriori filtering of association rules. Bart Goethals, Jan Van den Bussche. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999. Web SearchBibTeXDownload
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References
1. ^ KDD 2008: Sessions - Retrieved 2009-11-21 - details
2. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
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