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Bart Goethals :
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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 ] Bart Goethals , Jan Van den Bussche On Supporting Interactive Association Rule Mining. [Citation Graph (0, 0)][DBLP ] DaWaK, 2000, pp:307-316 [Conf ] Floris Geerts , Bart Goethals , Taneli Mielikäinen Tiling Databases. [Citation Graph (0, 0)][DBLP ] Discovery Science, 2004, pp:278-289 [Conf ] 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 ] 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 ] Bart Goethals Finding interesting queries in relational databases. [Citation Graph (0, 0)][DBLP ] EGC, 2007, pp:5- [Conf ] Bart Goethals , Mohammed Javeed Zaki Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03. [Citation Graph (0, 0)][DBLP ] FIMI, 2003, pp:- [Conf ] 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 ] 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 ] 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 ] Toon Calders , Bart Goethals , Szymon Jaroszewicz Mining rank-correlated sets of numerical attributes. [Citation Graph (0, 0)][DBLP ] KDD, 2006, pp:96-105 [Conf ] 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 ] Toon Calders , Bart Goethals Quick Inclusion-Exclusion. [Citation Graph (0, 0)][DBLP ] KDID, 2005, pp:86-103 [Conf ] Floris Geerts , Bart Goethals , Taneli Mielikäinen What You Store is What You Get. [Citation Graph (0, 0)][DBLP ] KDID, 2003, pp:60-69 [Conf ] 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 ] Toon Calders , Bart Goethals Mining All Non-derivable Frequent Itemsets. [Citation Graph (0, 0)][DBLP ] PKDD, 2002, pp:74-85 [Conf ] Toon Calders , Bart Goethals Minimal k -Free Representations of Frequent Sets. [Citation Graph (0, 0)][DBLP ] PKDD, 2003, pp:71-82 [Conf ] Toon Calders , Bart Goethals , Adriana Prado Integrating Pattern Mining in Relational Databases. [Citation Graph (0, 0)][DBLP ] PKDD, 2006, pp:454-461 [Conf ] Bart Goethals Memory issues in frequent itemset mining. [Citation Graph (0, 0)][DBLP ] SAC, 2004, pp:530-534 [Conf ] 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 ] Bart Goethals , Juho Muhonen , Hannu Toivonen Mining Non-Derivable Association Rules. [Citation Graph (0, 0)][DBLP ] SDM, 2005, pp:- [Conf ] Toon Calders , Bart Goethals Depth-First Non-Derivable Itemset Mining. [Citation Graph (0, 0)][DBLP ] SDM, 2005, pp:- [Conf ] 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 ] Bart Goethals , Jan Van den Bussche Interactive Constrained Association Rule Mining [Citation Graph (0, 0)][DBLP ] CoRR, 2001, v:0, n:, pp:- [Journal ] 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 ] Toon Calders , Bart Goethals Mining All Non-Derivable Frequent Itemsets [Citation Graph (0, 0)][DBLP ] CoRR, 2002, v:0, n:, pp:- [Journal ] Bart Goethals , Jan Van den Bussche Relational Association Rules: getting WARMeR [Citation Graph (0, 0)][DBLP ] CoRR, 2002, v:0, n:, pp:- [Journal ] 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 ] 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 ] 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 ] 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 ] Discovery and Application of Functional Dependencies in Conjunctive Query Mining. [Citation Graph (, )][DBLP ] Mining Views: Database Views for Data Mining. [Citation Graph (, )][DBLP ] Mining Frequent Itemsets in a Stream. [Citation Graph (, )][DBLP ] Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. [Citation Graph (, )][DBLP ] An inductive database prototype based on virtual mining views. [Citation Graph (, )][DBLP ] Predicting the severity of a reported bug. [Citation Graph (, )][DBLP ] Efficient Pattern Mining of Uncertain Data with Sampling. [Citation Graph (, )][DBLP ] Mining Association Rules in Long Sequences. [Citation Graph (, )][DBLP ] Mining interesting sets and rules in relational databases. [Citation Graph (, )][DBLP ] Mining Association Rules of Simple Conjunctive Queries. [Citation Graph (, )][DBLP ] A New Constraint for Mining Sets in Sequences. [Citation Graph (, )][DBLP ] A new technique for sequential pattern mining under regular expressions. [Citation Graph (, )][DBLP ] Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008. [Citation Graph (, )][DBLP ] Search in 0.071secs, Finished in 0.074secs