Bart Goethals

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 55

Top Venues

RecSys

Data Min. Knowl. Discov.

CoRR

DSAA

Publications

Lien Michiels, Robin Verachtert, Andres Ferraro, Kim Falk, Bart Goethals
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms. Trans. Recomm. Syst. 2 (1) (2024)
Olivier Jeunen, Bart Goethals
Pessimistic Decision-Making for Recommender Systems. Trans. Recomm. Syst. 1 (1) (2023)
Len Feremans, Boris Cule, Bart Goethals
Efficient pattern-based anomaly detection in a network of multivariate devices. CoRR (2023)
Mozhgan Karimi, Boris Cule, Bart Goethals
Leveraging Sequential Episode Mining for Session-Based News Recommendation. WISE (2023)
Robin Verachtert, Jeroen Craps, Lien Michiels, Bart Goethals
The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance. ECIR (2) (2023)
Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. RecSys (2023)
Lien Michiels, Robin Verachtert, Bart Goethals
RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. RecSys (2022)
Joey De Pauw, Koen Ruymbeek, Bart Goethals
Modelling Users with Item Metadata for Explainable and Interactive Recommendation. CoRR (2022)
Olivier Jeunen, Jan Van Balen, Bart Goethals
Embarrassingly shallow auto-encoders for dynamic collaborative filtering. User Model. User Adapt. Interact. 32 (4) (2022)
Joey De Pauw, Koen Ruymbeek, Bart Goethals
Who do you think I am? Interactive User Modelling with Item Metadata. RecSys (2022)
Robin Verachtert, Lien Michiels, Bart Goethals
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. Perspectives@RecSys (2022)
Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. Perspectives@RecSys (2022)
Len Feremans, Robin Verachtert, Bart Goethals
A Neighbourhood-based Location- and Time-aware Recommender System. ORSUM@RecSys (2022)
Sandy Moens, Boris Cule, Bart Goethals
RASCL: a randomised approach to subspace clusters. Int. J. Data Sci. Anal. 14 (3) (2022)
Len Feremans, Boris Cule, Bart Goethals
PETSC: pattern-based embedding for time series classification. Data Min. Knowl. Discov. 36 (3) (2022)
Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals
What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work. UMAP (Adjunct Publication) (2022)
Olivier Jeunen, Bart Goethals
Top-K Contextual Bandits with Equity of Exposure. RecSys (2021)
Jan Van Balen, Bart Goethals
High-dimensional Sparse Embeddings for Collaborative Filtering. WWW (2021)
Olivier Jeunen, Bart Goethals
Pessimistic Reward Models for Off-Policy Learning in Recommendation. RecSys (2021)
Len Feremans, Boris Cule, Celine Vens, Bart Goethals
Combining instance and feature neighbours for extreme multi-label classification. Int. J. Data Sci. Anal. 10 (3) (2020)
Olivier Jeunen, Jan Van Balen, Bart Goethals
Closed-Form Models for Collaborative Filtering with Side-Information. RecSys (2020)
Sandy Moens, Boris Cule, Bart Goethals
A Sampling-Based Approach for Discovering Subspace Clusters. DS (2019)
Joey De Pauw, Sandy Moens, Bart Goethals
SubSect - An Interactive Itemset Visualization. BNAIC/BENELEARN (2019)
Pieter Meysman, Yvan Saeys, Ehsan Sabaghian, Wout Bittremieux, Yves Van de Peer, Bart Goethals, Kris Laukens
Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals
Pattern-Based Anomaly Detection in Mixed-Type Time Series. ECML/PKDD (1) (2019)
Mozhgan Karimi, Boris Cule, Bart Goethals
On-the-Fly News Recommendation Using Sequential Patterns. INRA@RecSys (2019)
Boris Cule, Len Feremans, Bart Goethals
Efficiently mining cohesion-based patterns and rules in event sequences. Data Min. Knowl. Discov. 33 (4) (2019)
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb
Proximity Forest: an effective and scalable distance-based classifier for time series. Data Min. Knowl. Discov. 33 (3) (2019)
Sandy Moens, Olivier Jeunen, Bart Goethals
Interactive evaluation of recommender systems with SNIPER: an episode mining approach. RecSys (2019)
Bart Goethals
Lessons Learned from the FIMI Workshops. EDML@SDM (2019)
Olivier Jeunen, Koen Verstrepen, Bart Goethals
Efficient similarity computation for collaborative filtering in dynamic environments. RecSys (2019)
Joey De Pauw, Sandy Moens, Bart Goethals
SubSect - An Interactive Itemset Visualization. BNAIC/BENELEARN (Selected Papers) (2019)
Len Feremans, Vincent Vercruyssen, Wannes Meert, Boris Cule, Bart Goethals
A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs. NFMCP@PKDD/ECML (2019)
Aida Mrzic, Pieter Meysman, Wout Bittremieux, Pieter Moris, Boris Cule, Bart Goethals, Kris Laukens
Grasping frequent subgraph mining for bioinformatics applications. BioData Min. 11 (1) (2018)
Len Feremans, Boris Cule, Bart Goethals
Quantile-based Cohesive Sequential Patterns. SDM (2018)
Geoffrey I. Webb, Loong Kuan Lee, Bart Goethals, François Petitjean
Analyzing concept drift and shift from sample data. Data Min. Knowl. Discov. 32 (5) (2018)
Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb
Proximity Forest: An effective and scalable distance-based classifier for time series. CoRR (2018)
Elyne Scheurwegs, Kim Luyckx, Léon Luyten, Bart Goethals, Walter Daelemans
Assigning clinical codes with data-driven concept representation on Dutch clinical free text. J. Biomed. Informatics 69 (2017)
Koen Verstrepen, Kanishka Bhaduri, Boris Cule, Bart Goethals
Collaborative Filtering for Binary, Positiveonly Data. SIGKDD Explor. 19 (1) (2017)
Len Feremans, Boris Cule, Celine Vens, Bart Goethals
Combining Instance and Feature Neighbors for Efficient Multi-label Classification. DSAA (2017)
Joeri Rammelaere, Floris Geerts, Bart Goethals
Cleaning Data with Forbidden Itemsets. ICDE (2017)
Geoffrey I. Webb, Loong Kuan Lee, François Petitjean, Bart Goethals
Understanding Concept Drift. CoRR (2017)
Cheng Zhou, Boris Cule, Bart Goethals
Pattern Based Sequence Classification. IEEE Trans. Knowl. Data Eng. 28 (5) (2016)
Thomas Van Brussel, Emmanuel Müller, Bart Goethals
Discovering Overlapping Quantitative Associations by Density-Based Mining of Relevant Attributes. FoIKS (2016)
Boris Cule, Len Feremans, Bart Goethals
Efficient Discovery of Sets of Co-occurring Items in Event Sequences. ECML/PKDD (1) (2016)
Élisa Fromont, Bart Goethals
k-Morik: Mining Patterns to Classify Cartified Images of Katharina. Solving Large Scale Learning Tasks (2016)
Koen Verstrepen, Bart Goethals
Top-N Recommendation for Shared Accounts. RecSys (2015)
Emin Aksehirli, Bart Goethals, Emmanuel Müller
Efficient Cluster Detection by Ordered Neighborhoods. DaWaK (2015)
Christophe Van Gysel, Bart Goethals, Maarten de Rijke
Determining the Presence of Political Parties in Social Circles. ICWSM (2015)
Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals
Finding Subspace Clusters Using Ranked Neighborhoods. ICDM Workshops (2015)
Cheng Zhou, Boris Cule, Bart Goethals
A pattern based predictor for event streams. Expert Syst. Appl. 42 (23) (2015)
Cheng Zhou, Boris Cule, Bart Goethals
Cohesion based co-location pattern mining. DSAA (2015)
Tayena Hendrickx, Boris Cule, Pieter Meysman, Stefan Naulaerts, Kris Laukens, Bart Goethals
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets. PAKDD (2) (2015)
Pieter Meysman, Cheng Zhou, Boris Cule, Bart Goethals, Kris Laukens
Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns. BioData Min. 8 (2015)
Stefan Naulaerts, Pieter Meysman, Wout Bittremieux, Trung-Nghia Vu, Wim Vanden Berghe, Bart Goethals, Kris Laukens
A primer to frequent itemset mining for bioinformatics. Briefings Bioinform. 16 (2) (2015)
Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens, Bart Goethals
Discovery of Spatially Cohesive Itemsets in Three-Dimensional Protein Structures. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (5) (2014)
Tayena Hendrickx, Boris Cule, Bart Goethals
Mining Cohesive Itemsets in Graphs. Discovery Science (2014)
Toon Calders, Nele Dexters, Joris J. M. Gillis, Bart Goethals
Mining frequent itemsets in a stream. Inf. Syst. 39 (2014)
Sandy Moens, Mario Boley, Bart Goethals
Providing Concise Database Covers Instantly by Recursive Tile Sampling. Discovery Science (2014)
Boris Cule, Nikolaj Tatti, Bart Goethals
MARBLES: Mining association rules buried in long event sequences. Stat. Anal. Data Min. 7 (2) (2014)
Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang
Welcome from DSAA 2014 chairs. DSAA (2014)
Koen Verstrepen, Bart Goethals
Unifying nearest neighbors collaborative filtering. RecSys (2014)
Emin Aksehirli, Bart Goethals, Emmanuel Müller, Jilles Vreeken
Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. ICDM (2013)
Cheng Zhou, Boris Cule, Bart Goethals
Itemset Based Sequence Classification. ECML/PKDD (1) (2013)
Antonio Gomariz, Manuel Campos, Roque Marín, Bart Goethals
ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences. PAKDD (1) (2013)
Boris Cule, Bart Goethals, Tayena Hendrickx
Mining Interesting Itemsets in Graph Datasets. PAKDD (1) (2013)
Cheng Zhou, Pieter Meysman, Boris Cule, Kris Laukens, Bart Goethals
Mining spatially cohesive itemsets in protein molecular structures. BIOKDD (2013)
Sandy Moens, Bart Goethals
Randomly sampling maximal itemsets. IDEA@KDD (2013)
Sandy Moens, Emin Aksehirli, Bart Goethals
Frequent Itemset Mining for Big Data. IEEE BigData (2013)
Boris Cule, Nikolaj Tatti, Bart Goethals
MARBLES: Mining Association Rules Buried in Long Event Sequences. SDM (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) (2012)
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) (2012)
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
Top-10 Data Mining Case Studies. Int. J. Inf. Technol. Decis. Mak. 11 (2) (2012)
Bart Goethals
Cartification: From Similarities to Itemset Frequencies. ICFCA (2012)
Bart Goethals, Sandy Moens, Jilles Vreeken
MIME: A Framework for Interactive Visual Pattern Mining. ECML/PKDD (3) (2011)
Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals
GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service. IDA (2011)
Bart Goethals, Sandy Moens, Jilles Vreeken
MIME: a framework for interactive visual pattern mining. KDD (2011)
Boris Cule, Bart Goethals, Sven Tassenoy, Sabine Verboven
Mining Train Delays. IDA (2011)
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)
Bart Goethals
Cartification: Turning Similarities into Itemset Frequencies. MultiClust@ECML/PKDD (2011)
Trung-Nghia 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 Bioinform. 12 (2011)
Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals
"Tell Me More": Finding Related Items from User Provided Feedback. Discovery Science (2011)
Toon Calders, Calin Garboni, Bart Goethals
Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM (2010)
Toon Calders, Calin Garboni, Bart Goethals
Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) (2010)
Boris Cule, Bart Goethals
Mining Association Rules in Long Sequences. PAKDD (1) (2010)
Bart Goethals, Dominique Laurent, Wim Le Page
Discovery and Application of Functional Dependencies in Conjunctive Query Mining. DaWak (2010)
Bart Goethals, Wim Le Page, Michael Mampaey
Mining interesting sets and rules in relational databases. SAC (2010)
Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart Goethals
Predicting the severity of a reported bug. MSR (2010)
Bart Goethals, Jian Pei
Special issue on the best papers of SDM'10. Stat. Anal. Data Min. 3 (6) (2010)
Jilles Vreeken, Nikolaj Tatti, Bart Goethals
Useful patterns (UP'10) ACM SIGKDD workshop report. SIGKDD Explor. 12 (2) (2010)
Boris Cule, Bart Goethals, Céline Robardet
A New Constraint for Mining Sets in Sequences. SDM (2009)
Roberto Trasarti, Francesco Bonchi, Bart Goethals
A new technique for sequential pattern mining under regular expressions. SEBD (2009)
Bart Goethals, Wim Le Page, Heikki Mannila
Mining Association Rules of Simple Conjunctive Queries. SDM (2008)
Roberto Trasarti, Francesco Bonchi, Bart Goethals
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. ICDM (2008)
Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado
Mining Views: Database Views for Data Mining. ICDE (2008)
Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
An inductive database prototype based on virtual mining views. KDD (2008)
Walter Daelemans, Bart Goethals, Katharina Morik
Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008. Data Min. Knowl. Discov. 17 (1) (2008)
Toon Calders, Nele Dexters, Bart Goethals
Mining frequent items in a stream using flexible windows. Intell. Data Anal. 12 (3) (2008)
Walter Daelemans, Bart Goethals, Katharina Morik
Guest Editors' introduction: special issue of selected papers from ECML PKDD 2008. Mach. Learn. 72 (3) (2008)
Bart Goethals
Finding interesting queries in relational databases. EGC (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bart Goethals