Bart Goethals - RankMe

160 papers A* 14A 21B 17C 1Misc 4Journal 47Unranked 40

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection. RecSys Tobias Vente, Michael Heep, Abdullah Abbas, Theodor Sperle, Joeran Beel, Bart Goethals
2025	J	`jnl`	APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection. CoRR Tobias Vente, Michael Heep, Abdullah Abbas, Theodor Sperle, Joeran Beel, Bart Goethals
2025	J	`jnl`	Discrete-event Tensor Factorization: Learning a Smooth Embedding for Continuous Domains. CoRR Joey De Pauw, Bart Goethals
2025	—	`conf`	Neighborhood-Based Collaborative Filtering Bandits. Challenges and Algorithms for Knowledge Discovery from Data Noah Daniëls, Bart Goethals
2025	B	`conf`	Scalable Evaluation of Rule-Based Recommender Systems: Algorithms and Benchmarks. RuleML+RR Len Feremans, Bart Goethals
2025	J	`jnl`	Weighted Tensor Decompositions for Context-aware Collaborative Filtering. CoRR Joey De Pauw, Bart Goethals
2025	A	`conf`	What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems. CIKM Jens Leysen, Marco Favier, Bart Goethals
2025	J	`jnl`	What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems. CoRR Jens Leysen, Marco Favier, Bart Goethals
2024	J	`jnl`	A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. Trans. Recomm. Syst. Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals
2024	—	`conf`	Non-Sationary Multi-Armed Bandits for News Recommendations. INRA@RecSys Noah Daniëls, Bart Goethals
2024	B	`conf`	Session-based News Recommendation Using Cohesive Patterns. IEEE Big Data Mozhgan Karimi, Len Feremans, Boris Cule, Bart Goethals
2024	A	`conf`	The Role of Unknown Interactions in Implicit Matrix Factorization - A Probabilistic View. RecSys Joey De Pauw, Bart Goethals
2023	—	`ed.`	Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022, Revised Selected Papers BNAIC/BENELEARN Toon Calders, Celine Vens, Jefrey Lijffijt, Bart Goethals
2023	J	`jnl`	Efficient pattern-based anomaly detection in a network of multivariate devices. CoRR Len Feremans, Boris Cule, Bart Goethals
2023	A	`conf`	How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. RecSys Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals
2023	B	`conf`	Leveraging Sequential Episode Mining for Session-Based News Recommendation. WISE Mozhgan Karimi, Boris Cule, Bart Goethals
2023	J	`jnl`	Pessimistic Decision-Making for Recommender Systems. Trans. Recomm. Syst. Olivier Jeunen, Bart Goethals
2023	—	`ed.`	Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022), Grenoble, France, September 19-23, 2022. KDID Bart Goethals, Céline Robardet, Arno Siebes
2023	—	`conf`	The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance. ECIR (2) Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals
2022	—	`conf`	A Neighbourhood-based Location- and Time-aware Recommender System. ORSUM@RecSys Len Feremans, Robin Verachtert, Bart Goethals
2022	—	`conf`	Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. Perspectives@RecSys Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals
2022	—	`conf`	Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. Perspectives@RecSys Robin Verachtert, Lien Michiels, Bart Goethals
2022	J	`jnl`	Embarrassingly shallow auto-encoders for dynamic collaborative filtering. User Model. User Adapt. Interact. Olivier Jeunen, Jan Van Balen, Bart Goethals
2022	J	`jnl`	Modelling Users with Item Metadata for Explainable and Interactive Recommendation. CoRR Joey De Pauw, Koen Ruymbeek, Bart Goethals
2022	J	`jnl`	PETSC: pattern-based embedding for time series classification. Data Min. Knowl. Discov. Len Feremans, Boris Cule, Bart Goethals
2022	J	`jnl`	RASCL: a randomised approach to subspace clusters. Int. J. Data Sci. Anal. Sandy Moens, Boris Cule, Bart Goethals
2022	A	`conf`	RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. RecSys Lien Michiels, Robin Verachtert, Bart Goethals
2022	—	`conf`	What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work. UMAP (Adjunct Publication) Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals
2022	A	`conf`	Who do you think I am? Interactive User Modelling with Item Metadata. RecSys Joey De Pauw, Koen Ruymbeek, Bart Goethals
2021	A*	`conf`	High-dimensional Sparse Embeddings for Collaborative Filtering. WWW Jan Van Balen, Bart Goethals
2021	A	`conf`	Pessimistic Reward Models for Off-Policy Learning in Recommendation. RecSys Olivier Jeunen, Bart Goethals
2021	A	`conf`	Top-K Contextual Bandits with Equity of Exposure. RecSys Olivier Jeunen, Bart Goethals
2020	A	`conf`	Closed-Form Models for Collaborative Filtering with Side-Information. RecSys Olivier Jeunen, Jan Van Balen, Bart Goethals
2020	J	`jnl`	Combining instance and feature neighbours for extreme multi-label classification. Int. J. Data Sci. Anal. Len Feremans, Boris Cule, Celine Vens, Bart Goethals
2019	—	`conf`	A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs. NFMCP@PKDD/ECML Len Feremans, Vincent Vercruyssen, Wannes Meert, Boris Cule, Bart Goethals
2019	B	`conf`	A Sampling-Based Approach for Discovering Subspace Clusters. DS Sandy Moens, Boris Cule, Bart Goethals
2019	A	`conf`	Efficient similarity computation for collaborative filtering in dynamic environments. RecSys Olivier Jeunen, Koen Verstrepen, Bart Goethals
2019	J	`jnl`	Efficiently mining cohesion-based patterns and rules in event sequences. Data Min. Knowl. Discov. Boris Cule, Len Feremans, Bart Goethals
2019	A	`conf`	Interactive evaluation of recommender systems with SNIPER: an episode mining approach. RecSys Sandy Moens, Olivier Jeunen, Bart Goethals
2019	—	`conf`	Lessons Learned from the FIMI Workshops. EDML@SDM Bart Goethals
2019	J	`jnl`	Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph. IEEE ACM Trans. Comput. Biol. Bioinform. Pieter Meysman, Yvan Saeys, Ehsan Sabaghian, Wout Bittremieux, Yves Van de Peer, Bart Goethals, Kris Laukens
2019	—	`conf`	On-the-Fly News Recommendation Using Sequential Patterns. INRA@RecSys Mozhgan Karimi, Boris Cule, Bart Goethals
2019	—	`conf`	Pattern-Based Anomaly Detection in Mixed-Type Time Series. ECML/PKDD (1) Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals
2019	J	`jnl`	Proximity Forest: an effective and scalable distance-based classifier for time series. Data Min. Knowl. Discov. Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb
2019	—	`conf`	SubSect - An Interactive Itemset Visualization. BNAIC/BENELEARN Joey De Pauw, Sandy Moens, Bart Goethals
2019	—	`conf`	SubSect - An Interactive Itemset Visualization. BNAIC/BENELEARN (Selected Papers) Joey De Pauw, Sandy Moens, Bart Goethals
2018	J	`jnl`	Analyzing concept drift and shift from sample data. Data Min. Knowl. Discov. Geoffrey I. Webb, Loong Kuan Lee, Bart Goethals, François Petitjean
2018	—	`ch.`	Apriori Property and Breadth-First Search Algorithms. Encyclopedia of Database Systems (2nd ed.) Bart Goethals
2018	J	`jnl`	Grasping frequent subgraph mining for bioinformatics applications. BioData Min. Aida Mrzic, Pieter Meysman, Wout Bittremieux, Pieter Moris, Boris Cule, Bart Goethals, Kris Laukens
2018	A	`conf`	Mining Top- SDM Len Feremans, Boris Cule, Bart Goethals
2018	J	`jnl`	Proximity Forest: An effective and scalable distance-based classifier for time series. CoRR Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb
2017	J	`jnl`	Assigning clinical codes with data-driven concept representation on Dutch clinical free text. J. Biomed. Informatics Elyne Scheurwegs, Kim Luyckx, Léon Luyten, Bart Goethals, Walter Daelemans
2017	A*	`conf`	Cleaning Data with Forbidden Itemsets. ICDE Joeri Rammelaere, Floris Geerts, Bart Goethals
2017	J	`jnl`	Collaborative Filtering for Binary, Positiveonly Data. SIGKDD Explor. Koen Verstrepen, Kanishka Bhaduri, Boris Cule, Bart Goethals
2017	B	`conf`	Combining Instance and Feature Neighbors for Efficient Multi-label Classification. DSAA Len Feremans, Boris Cule, Celine Vens, Bart Goethals
2017	J	`jnl`	Understanding Concept Drift. CoRR Geoffrey I. Webb, Loong Kuan Lee, François Petitjean, Bart Goethals
2016	—	`conf`	Discovering Overlapping Quantitative Associations by Density-Based Mining of Relevant Attributes. FoIKS Thomas Van Brussel, Emmanuel Müller, Bart Goethals
2016	—	`conf`	Efficient Discovery of Sets of Co-occurring Items in Event Sequences. ECML/PKDD (1) Boris Cule, Len Feremans, Bart Goethals
2016	J	`jnl`	Pattern Based Sequence Classification. IEEE Trans. Knowl. Data Eng. Cheng Zhou, Boris Cule, Bart Goethals
2016	—	`conf`	k-Morik: Mining Patterns to Classify Cartified Images of Katharina. Solving Large Scale Learning Tasks Élisa Fromont, Bart Goethals
2015	J	`jnl`	A pattern based predictor for event streams. Expert Syst. Appl. Cheng Zhou, Boris Cule, Bart Goethals
2015	J	`jnl`	A primer to frequent itemset mining for bioinformatics. Briefings Bioinform. Stefan Naulaerts, Pieter Meysman, Wout Bittremieux, Trung-Nghia Vu, Wim Vanden Berghe, Bart Goethals, Kris Laukens
2015	B	`conf`	Cohesion based co-location pattern mining. DSAA Cheng Zhou, Boris Cule, Bart Goethals
2015	A	`conf`	Determining the Presence of Political Parties in Social Circles. ICWSM Christophe Van Gysel, Bart Goethals, Maarten de Rijke
2015	B	`conf`	Efficient Cluster Detection by Ordered Neighborhoods. DaWaK Emin Aksehirli, Bart Goethals, Emmanuel Müller
2015	—	`conf`	Finding Subspace Clusters Using Ranked Neighborhoods. ICDM Workshops Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals
2015	—	`conf`	Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets. PAKDD (2) Tayena Hendrickx, Boris Cule, Pieter Meysman, Stefan Naulaerts, Kris Laukens, Bart Goethals
2015	J	`jnl`	Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns. BioData Min. Pieter Meysman, Cheng Zhou, Boris Cule, Bart Goethals, Kris Laukens
2015	A	`conf`	Top-N Recommendation for Shared Accounts. RecSys Koen Verstrepen, Bart Goethals
2014	J	`jnl`	Discovery of Spatially Cohesive Itemsets in Three-Dimensional Protein Structures. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens, Bart Goethals
2014	J	`jnl`	MARBLES: Mining association rules buried in long event sequences. Stat. Anal. Data Min. Boris Cule, Nikolaj Tatti, Bart Goethals
2014	B	`conf`	Mining Cohesive Itemsets in Graphs. Discovery Science Tayena Hendrickx, Boris Cule, Bart Goethals
2014	J	`jnl`	Mining frequent itemsets in a stream. Inf. Syst. Toon Calders, Nele Dexters, Joris J. M. Gillis, Bart Goethals
2014	B	`conf`	Providing Concise Database Covers Instantly by Recursive Tile Sampling. Discovery Science Sandy Moens, Mario Boley, Bart Goethals
2014	A	`conf`	Unifying nearest neighbors collaborative filtering. RecSys Koen Verstrepen, Bart Goethals
2014	B	`conf`	Welcome from DSAA 2014 chairs. DSAA Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang
2013	A*	`conf`	Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. ICDM Emin Aksehirli, Bart Goethals, Emmanuel Müller, Jilles Vreeken
2013	—	`conf`	ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences. PAKDD (1) Antonio Gomariz, Manuel Campos, Roque Marín, Bart Goethals
2013	—	`conf`	Frequent Itemset Mining for Big Data. IEEE BigData Sandy Moens, Emin Aksehirli, Bart Goethals
2013	—	`conf`	Itemset Based Sequence Classification. ECML/PKDD (1) Cheng Zhou, Boris Cule, Bart Goethals
2013	—	`conf`	Mining Interesting Itemsets in Graph Datasets. PAKDD (1) Boris Cule, Bart Goethals, Tayena Hendrickx
2013	—	`conf`	Mining spatially cohesive itemsets in protein molecular structures. BIOKDD Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens, Bart Goethals
2013	—	`conf`	Randomly sampling maximal itemsets. IDEA@KDD Sandy Moens, Bart Goethals
2012	—	`ed.`	12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012 ICDM Workshops Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012	A*	`ed.`	12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 ICDM Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012	J	`jnl`	An inductive database system based on virtual mining views. Data Min. Knowl. Discov. Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2012	C	`conf`	Cartification: From Similarities to Itemset Frequencies. ICFCA Bart Goethals
2012	A	`conf`	MARBLES: Mining Association Rules Buried in Long Event Sequences. SDM Boris Cule, Nikolaj Tatti, Bart Goethals
2012	J	`jnl`	Mining frequent conjunctive queries in relational databases through dependency discovery. Knowl. Inf. Syst. Bart Goethals, Dominique Laurent, Wim Le Page, Cheikh Tidiane Dieng
2012	J	`jnl`	Top-10 Data Mining Case Studies. Int. J. Inf. Technol. Decis. Mak. Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane
2011	B	`conf`	"Tell Me More": Finding Related Items from User Provided Feedback. Discovery Science Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals
2011	J	`jnl`	An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data. BMC Bioinform. Trung-Nghia Vu, Dirk Valkenborg, Koen Smets, Kim A. Verwaest, Roger Dommisse, Filip Lemière, Alain Verschoren, Bart Goethals, Kris Laukens
2011	—	`conf`	BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain. ICDM Workshops Jeroen De Knijf, Anthony M. L. Liekens, Walter Daelemans, Peter De Rijk, Jurgen Del-Favero, Bart Goethals
2011	—	`conf`	Cartification: Turning Similarities into Itemset Frequencies. MultiClust@ECML/PKDD Bart Goethals
2011	B	`conf`	GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service. IDA Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals
2011	—	`conf`	MIME: A Framework for Interactive Visual Pattern Mining. ECML/PKDD (3) Bart Goethals, Sandy Moens, Jilles Vreeken
2011	A*	`conf`	MIME: a framework for interactive visual pattern mining. KDD Bart Goethals, Sandy Moens, Jilles Vreeken
2011	B	`conf`	Mining Train Delays. IDA Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven
2010	—	`ch.`	A Practical Comparative Study Of Data Mining Query Languages. Inductive Databases and Constraint-Based Data Mining Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2010	A*	`conf`	Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM Toon Calders, Calin Garboni, Bart Goethals
2010	B	`conf`	Discovery and Application of Functional Dependencies in Conjunctive Query Mining. DaWak Bart Goethals, Dominique Laurent, Wim Le Page
2010	—	`conf`	Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) Toon Calders, Calin Garboni, Bart Goethals
2010	—	`ch.`	Frequent Set Mining. Data Mining and Knowledge Discovery Handbook Bart Goethals
2010	—	`book`	Inductive Databases and Constraint-Based Data Mining. Saso Dzeroski, Bart Goethals, Pance Panov
2010	—	`ch.`	Inductive Querying with Virtual Mining Views. Inductive Databases and Constraint-Based Data Mining Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet
2010	—	`conf`	Mining Association Rules in Long Sequences. PAKDD (1) Boris Cule, Bart Goethals
2010	Misc	`conf`	Mining interesting sets and rules in relational databases. SAC Bart Goethals, Wim Le Page, Michael Mampaey
2010	A	`conf`	Predicting the severity of a reported bug. MSR Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart Goethals
2010	J	`jnl`	Special issue on the best papers of SDM'10. Stat. Anal. Data Min. Bart Goethals, Jian Pei
2010	J	`jnl`	Useful patterns (UP'10) ACM SIGKDD workshop report. SIGKDD Explor. Jilles Vreeken, Nikolaj Tatti, Bart Goethals
2009	A	`conf`	A New Constraint for Mining Sets in Sequences. SDM Boris Cule, Bart Goethals, Céline Robardet
2009	—	`conf`	A new technique for sequential pattern mining under regular expressions. SEBD Roberto Trasarti, Francesco Bonchi, Bart Goethals
2009	—	`ch.`	Apriori Property and Breadth-First Search Algorithms. Encyclopedia of Database Systems Bart Goethals
2008	A*	`conf`	An inductive database prototype based on virtual mining views. KDD Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2008	J	`jnl`	Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008. Data Min. Knowl. Discov. Walter Daelemans, Bart Goethals, Katharina Morik
2008	J	`jnl`	Guest Editors' introduction: special issue of selected papers from ECML PKDD 2008. Mach. Learn. Walter Daelemans, Bart Goethals, Katharina Morik
2008	—	`ed.`	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I ECML/PKDD (1) Walter Daelemans, Bart Goethals, Katharina Morik
2008	—	`ed.`	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II ECML/PKDD (2) Walter Daelemans, Bart Goethals, Katharina Morik
2008	A	`conf`	Mining Association Rules of Simple Conjunctive Queries. SDM Bart Goethals, Wim Le Page, Heikki Mannila
2008	A*	`conf`	Mining Views: Database Views for Data Mining. ICDE Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado
2008	J	`jnl`	Mining frequent items in a stream using flexible windows. Intell. Data Anal. Toon Calders, Nele Dexters, Bart Goethals
2008	A*	`conf`	Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. ICDM Roberto Trasarti, Francesco Bonchi, Bart Goethals
2007	J	`jnl`	A new support measure for items in streams. Monde des Util. Anal. Données Toon Calders, Nele Dexters, Bart Goethals
2007	—	`conf`	Finding interesting queries in relational databases. EGC Bart Goethals
2007	A*	`conf`	Mining Frequent Itemsets in a Stream. ICDM Toon Calders, Nele Dexters, Bart Goethals
2007	Misc	`conf`	Mining itemsets in the presence of missing values. SAC Toon Calders, Bart Goethals, Michael Mampaey
2007	J	`jnl`	Non-derivable itemset mining. Data Min. Knowl. Discov. Toon Calders, Bart Goethals
2006	—	`conf`	Integrating Pattern Mining in Relational Databases. PKDD Toon Calders, Bart Goethals, Adriana Prado
2006	A*	`conf`	Mining rank-correlated sets of numerical attributes. KDD Toon Calders, Bart Goethals, Szymon Jaroszewicz
2005	A	`conf`	Depth-First Non-Derivable Itemset Mining. SDM Toon Calders, Bart Goethals
2005	—	`ed.`	FIMI '04, Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations, Brighton, UK, November 1, 2004 FIMI Roberto J. Bayardo Jr., Bart Goethals, Mohammed Javeed Zaki
2005	—	`ch.`	Frequent Set Mining. The Data Mining and Knowledge Discovery Handbook Bart Goethals
2005	—	`ed.`	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 KDID Bart Goethals, Arno Siebes
2005	A	`conf`	Mining Non-Derivable Association Rules. SDM Bart Goethals, Juho Muhonen, Hannu Toivonen
2005	—	`conf`	Mining Tree Queries in a Graph. BNAIC Bart Goethals, Eveline Hoekx, Jan Van den Bussche
2005	A*	`conf`	Mining tree queries in a graph. KDD Bart Goethals, Eveline Hoekx, Jan Van den Bussche
2005	J	`jnl`	Open source data mining: workshop report. SIGKDD Explor. Bart Goethals, Siegfried Nijssen, Mohammed Javeed Zaki
2005	—	`conf`	Quick Inclusion-Exclusion. KDID Toon Calders, Bart Goethals
2005	J	`jnl`	Tight upper bounds on the number of candidate patterns. ACM Trans. Database Syst. Floris Geerts, Bart Goethals, Jan Van den Bussche
2004	J	`jnl`	Advances in frequent itemset mining implementations: report on FIMI'03. SIGKDD Explor. Bart Goethals, Mohammed Javeed Zaki
2004	B	`conf`	FP-Bonsai: The Art of Growing and Pruning Small FP-Trees. PAKDD Francesco Bonchi, Bart Goethals
2004	Misc	`conf`	Memory issues in frequent itemset mining. SAC Bart Goethals
2004	Misc	`conf`	On Private Scalar Product Computation for Privacy-Preserving Data Mining. ICISC Bart Goethals, Sven Laur, Helger Lipmaa, Taneli Mielikäinen
2004	B	`conf`	Tiling Databases. Discovery Science Floris Geerts, Bart Goethals, Taneli Mielikäinen
2003	—	`conf`	Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03. FIMI Bart Goethals, Mohammed Javeed Zaki
2003	—	`ed.`	FIMI '03, Frequent Itemset Mining Implementations, Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations, 19 December 2003, Melbourne, Florida, USA FIMI Bart Goethals, Mohammed Javeed Zaki
2003	—	`conf`	Minimal PKDD Toon Calders, Bart Goethals
2003	—	`conf`	What You Store is What You Get. KDID Floris Geerts, Bart Goethals, Taneli Mielikäinen
2002	—	`—`	Efficient frequent pattern mining Bart Goethals
2002	J	`jnl`	Mining All Non-Derivable Frequent Itemsets CoRR Toon Calders, Bart Goethals
2002	—	`conf`	Mining All Non-derivable Frequent Itemsets. PKDD Toon Calders, Bart Goethals
2002	—	`conf`	Relational Association Rules: Getting WARMeR. Pattern Detection and Discovery Bart Goethals, Jan Van den Bussche
2002	J	`jnl`	Relational Association Rules: getting WARMeR CoRR Bart Goethals, Jan Van den Bussche
2001	J	`jnl`	A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model CoRR Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets
2001	J	`jnl`	A Tight Upper Bound on the Number of Candidate Patterns CoRR Floris Geerts, Bart Goethals, Jan Van den Bussche
2001	A*	`conf`	A Tight Upper Bound on the Number of Candidate Patterns. ICDM Floris Geerts, Bart Goethals, Jan Van den Bussche
2001	J	`jnl`	Interactive Constrained Association Rule Mining CoRR Bart Goethals, Jan Van den Bussche
2000	A*	`conf`	A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. KDD Tom Brijs, Bart Goethals, Gilbert Swinnen, Koen Vanhoof, Geert Wets
2000	B	`conf`	On Supporting Interactive Association Rule Mining. DaWaK Bart Goethals, Jan Van den Bussche
1999	—	`conf`	A priori versus a posteriori filtering of association rules. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery Bart Goethals, Jan Van den Bussche