Toon Calders

161 papers A* 13A 10B 15C 3Misc 4Journal 55Unranked 46
YearRankTypeTitle / Venue / Authors
2026 J jnl
No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models.
CoRR
Magali Legast, Toon Calders, François Fouss
2026 J jnl
Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices.
CoRR
Manon Reusens, Sofie Goethals, Toon Calders, David Martens
2025 J jnl
Cherry on the cake: fairness is NOT an optimization problem.
Mach. Learn.
Marco Favier, Toon Calders
2025 — conf
From Implicit to Explicit Assumptions: Why There is No Fairness Without Bias-Awareness.
EWAF
Marco Favier, Toon Calders
2025 — conf
Influence of Label and Selection Bias on Fairness Interventions.
EWAF
Magali Legast, Toon Calders, François Fouss
2025 J jnl
Interpretable and Fair Mechanisms for Abstaining Classifiers.
CoRR
Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
2025 J jnl
Unveiling gender bias in LLM-generated hero and heroine narratives.
Entertain. Comput.
Irene C. E. van Blerck, Edirlei Soares de Lima, Margot M. E. Neggers, Toon Calders
2025 J jnl
Users' needs in interactive bias auditing tools introducing a requirement checklist and evaluating existing tools.
AI Ethics
Daphne Lenders, Toon Calders
2024 J jnl
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions.
CoRR
Marco Favier, Toon Calders
2024 — conf
A Fair Selective Classifier to Put Humans in the Loop.
EWAF
Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Fosca Giannotti, Dino Pedreschi
2024 J jnl
Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics.
CoRR
Sofie Goethals, Toon Calders, David Martens
2024 J jnl
Cherry on the Cake: Fairness is NOT an Optimization Problem.
CoRR
Marco Favier, Toon Calders
2024 — conf
FairFlow: An Automated Approach to Model-Based Counterfactual Data Augmentation for NLP.
ECML/PKDD (7)
Ewoenam Kwaku Tokpo, Toon Calders
2024 J jnl
FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP.
CoRR
Ewoenam Kwaku Tokpo, Toon Calders
2024 J jnl
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks.
J. Intell. Inf. Syst.
Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci
2024 — conf
How a socio-technical approach to AI auditing can change how we understand and measure fairness in machine learning systems.
AIMMES
Gemma Galdon Clavell, Ariane Aumaitre, Toon Calders
2024 — conf
How to Be Fair? a Discussion and Future Perspectives.
EWAF
Marco Favier, Toon Calders
2024 J jnl
How to be fair? A study of label and selection bias.
CoRR
Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer
2024 — conf
Interpretable and Fair Mechanisms for Abstaining Classifiers.
ECML/PKDD (7)
Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
2024 J jnl
PreCoF: counterfactual explanations for fairness.
Mach. Learn.
Sofie Goethals, David Martens, Toon Calders
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 — conf
Explainability Methods to Detect and Measure Discrimination in Machine Learning Models.
EWAF
Sofie Goethals, David Martens, Toon Calders
2023 — conf
Functional Requirements for Interactive Bias-Audit Tools.
HHAI
Daphne Lenders, Toon Calders
2023 A conf
How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification.
EACL
Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders
2023 J jnl
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification.
CoRR
Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders
2023 J jnl
How to be fair? A study of label and selection bias.
Mach. Learn.
Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer
2023 J jnl
Model-based Counterfactual Generator for Gender Bias Mitigation.
CoRR
Ewoenam Kwaku Tokpo, Toon Calders
2023 Misc conf
Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML.
SAC
Daphne Lenders, Toon Calders
2022 J jnl
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis.
BMC Medical Informatics Decis. Mak.
Lennert Verboven, Toon Calders, Steven Callens, John Black, Gary Maartens, Kelly E. Dooley, Samantha Potgieter, Robin M. Warren, Kris Laukens, Annelies Van Rie
2022 — conf
Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models.
NAACL-HLT
Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt
2022 — conf
RangeGrad: Explaining Neural Networks by Measuring Uncertainty Through Bound Propagation.
PKDD/ECML Workshops (1)
Sam Pinxteren, Marco Favier, Toon Calders
2022 — conf
Text Style Transfer for Bias Mitigation using Masked Language Modeling.
NAACL-HLT (Student Research Workshop)
Ewoenam Kwaku Tokpo, Toon Calders
2022 J jnl
Text Style Transfer for Bias Mitigation using Masked Language Modeling.
CoRR
Ewoenam Kwaku Tokpo, Toon Calders
2021 J jnl
Distributed mining of convoys in large scale datasets.
GeoInformatica
Faisal Orakzai, Torben Bach Pedersen, Toon Calders
2021 A conf
Efficient Permutation Testing for Significant Sequential Patterns.
SDM
Sam Pinxteren, Toon Calders
2021 — conf
Finding Geo-Social Cohorts in Location-Based Social Networks.
APWeb/WAIM (2)
Muhammad Aamir Saleem, Toon Calders, Torben Bach Pedersen, Panagiotis Karras
2021 A conf
Incremental Predictive Process Monitoring: The Next Activity Case.
BPM
Stephen Pauwels, Toon Calders
2021 J jnl
Introduction to The Special Section on Bias and Fairness in AI.
SIGKDD Explor.
Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Salvatore Ruggieri
2021 — conf
Learning a Fair Distance Function for Situation Testing.
PKDD/ECML Workshops (1)
Daphne Lenders, Toon Calders
2021 J jnl
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models.
CoRR
Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt
2021 J jnl
Roman Urdu toxic comment classification.
Lang. Resour. Evaluation
Hafiz Hassaan Saeed, Muhammad Haseeb Ashraf, Faisal Kamiran, Asim Karim, Toon Calders
2020 — conf
Bayesian Network Based Predictions of Business Processes.
BPM (Forum)
Stephen Pauwels, Toon Calders
2020 J jnl
Keeping the Data Lake in Form: Proximity Mining for Pre-Filtering Schema Matching.
ACM Trans. Inf. Syst.
Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders
2019 — conf
ACD2: A Tool to Interactively Explore Business Process Logs.
BPM (PhD/Demos)
Stephen Pauwels, Toon Calders
2019 Misc conf
An anomaly detection technique for business processes based on extended dynamic bayesian networks.
SAC
Stephen Pauwels, Toon Calders
2019 J jnl
Effective and efficient location influence mining in location-based social networks.
Knowl. Inf. Syst.
Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Torben Bach Pedersen
2019 B conf
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks.
DS
Angelo Impedovo, Michelangelo Ceci, Toon Calders
2019 C conf
Keeping the Data Lake in Form: DS-kNN Datasets Categorization Using Proximity Mining.
MEDI
Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders
2019 J jnl
k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning.
Proc. VLDB Endow.
Faisal Orakzai, Toon Calders, Torben Bach Pedersen
2018 J jnl
2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles.
Proc. VLDB Endow.
Rohit Kumar, Toon Calders
2018 J jnl
A novel hierarchical-based framework for upper bound computation of graph edit distance.
Pattern Recognit.
Karam Gouda, Mona M. Arafa, Toon Calders
2018 J jnl
Detecting and Explaining Drifts in Yearly Grant Applications.
CoRR
Stephen Pauwels, Toon Calders
2018 J jnl
Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs.
CoRR
Stephen Pauwels, Toon Calders
2018 J jnl
Introduction to the special issue on discovery science.
Mach. Learn.
Michelangelo Ceci, Toon Calders
2018 B conf
Predicting Visitors Using Location-Based Social Networks.
MDM
Muhammad Aamir Saleem, Felipe Soares Da Costa, Peter Dolog, Panagiotis Karras, Torben Bach Pedersen, Toon Calders
2017 — conf
Activity-Driven Influence Maximization in Social Networks.
ECML/PKDD (3)
Rohit Kumar, Muhammad Aamir Saleem, Toon Calders, Xike Xie, Torben Bach Pedersen
2017 C conf
Cost Model for Pregel on GraphX.
ADBIS
Rohit Kumar, Alberto Abelló, Toon Calders
2017 B conf
DS-Prox: Dataset Proximity Mining for Governing the Data Lake.
SISAP
Ayman Alserafi, Toon Calders, Alberto Abelló, Oscar Romero
2017 — conf
Finding simple temporal cycles in an interaction network.
TD-LSG@PKDD/ECML
Rohit Kumar, Toon Calders
2017 A conf
IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks.
CIKM
Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen
2017 B conf
Information Propagation in Interaction Networks.
EDBT
Rohit Kumar, Toon Calders
2017 A conf
Location Influence in Location-based Social Networks.
WSDM
Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen
2017 J jnl
Risk detection and prediction from indoor tracking data.
ACM SIGSPATIAL Special
Tanvir Ahmed, Toon Calders, Hua Lu, Torben Bach Pedersen
2017 — conf
Three Big Data Tools for a Data Scientist's Toolbox.
eBISS
Toon Calders
2016 B conf
BFST_ED: A Novel Upper Bound Computation Framework for the Graph Edit Distance.
SISAP
Karam Gouda, Mona M. Arafa, Toon Calders
2016 B ed.
Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings
DS
Toon Calders, Michelangelo Ceci, Donato Malerba
2016 B conf
Distributed Convoy Pattern Mining.
MDM
Faisal Orakzai, Toon Calders, Torben Bach Pedersen
2016 — conf
Fairness-Aware Data Mining.
EGC
Toon Calders
2016 C conf
H-WorD: Supporting Job Scheduling in Hadoop with Workload-Driven Data Redistribution.
ADBIS
Petar Jovanovic, Oscar Romero, Toon Calders, Alberto Abelló
2016 B conf
Online Risk Prediction for Indoor Moving Objects.
MDM
Tanvir Ahmed, Torben Bach Pedersen, Toon Calders, Hua Lu
2016 J jnl
PROMETHEE is Not Quadratic: An O(qn log(n)) Algorithm.
CoRR
Toon Calders, Dimitri Van Assche
2016 — conf
Towards Information Profiling: Data Lake Content Metadata Management.
ICDM Workshops
Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders
2015 — ed.
Actes des 11es journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, EDA 2015, Bruxelles, Belgique, 2-3 avril 2015
EDA
Esteban Zimányi, Stijn Vansummeren, Toon Calders
2015 A conf
Classification of Historical Notary Acts with Noisy Labels.
ECIR
Julia Efremova, Alejandro Montes García, Toon Calders
2015 — conf
Effects of Evolutionary Linguistics in Text Classification.
SLSP
Julia Efremova, Alejandro Montes García, Jianpeng Zhang, Toon Calders
2015 — conf
HiDER: Query-Driven Entity Resolution for Historical Data.
ECML/PKDD (3)
Bijan Ranjbar Sahraei, Julia Efremova, Hossein Rahmani, Toon Calders, Karl Tuyls, Gerhard Weiss
2015 — conf
Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks.
ECML/PKDD (2)
Rohit Kumar, Toon Calders, Aristides Gionis, Nikolaj Tatti
2015 — conf
Mining Risk Factors in RFID Baggage Tracking Data.
MDM (1)
Tanvir Ahmed, Toon Calders, Torben Bach Pedersen
2015 — ch.
Multi-Source Entity Resolution for Genealogical Data.
Population Reconstruction
Julia Efremova, Bijan Ranjbar Sahraei, Hossein Rahmani, Frans A. Oliehoek, Toon Calders, Karl Tuyls, Gerhard Weiss
2015 J jnl
On measuring similarity for sequences of itemsets.
Data Min. Knowl. Discov.
Elias Egho, Chedy Raïssi, Toon Calders, Nicolas Jay, Amedeo Napoli
2015 J jnl
Towards Distributed Convoy Pattern Mining.
CoRR
Faisal Orakzai, Thomas Devogele, Toon Calders
2015 — conf
Towards distributed convoy pattern mining.
SIGSPATIAL/GIS
Faisal Orakzai, Thomas Devogele, Toon Calders
2015 — conf
Who Are My Ancestors? Retrieving Family Relationships from Historical Texts.
RuSSIR
Julia Efremova, Alejandro Montes García, Alfredo Bolt Iriondo, Toon Calders
2014 — conf
A Hybrid Disambiguation Measure for Inaccurate Cultural Heritage Data.
LaTeCH@EACL
Julia Efremova, Bijan Ranjbar Sahraei, Toon Calders
2014 J jnl
Finding Robust Itemsets under Subsampling.
ACM Trans. Database Syst.
Nikolaj Tatti, Fabian Moerchen, Toon Calders
2014 J jnl
Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track.
Mach. Learn.
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
2014 J jnl
Guest editors' introduction: special issue of the ECML/PKDD 2014 journal track.
Data Min. Knowl. Discov.
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
2014 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I
ECML/PKDD (1)
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
2014 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II
ECML/PKDD (2)
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
2014 — ed.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III
ECML/PKDD (3)
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
2014 J jnl
Mining Compressing Sequential Patterns.
Stat. Anal. Data Min.
Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders
2014 J jnl
Mining frequent itemsets in a stream.
Inf. Syst.
Toon Calders, Nele Dexters, Joris J. M. Gillis, Bart Goethals
2013 A* conf
Controlling Attribute Effect in Linear Regression.
ICDM
Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang
2013 — conf
Discovering temporal hidden contexts in web sessions for user trail prediction.
WWW (Companion Volume)
Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
2013 — book
Discrimination and Privacy in the Information Society - Data Mining and Profiling in Large Databases
Discrimination and Privacy in the Information Society
Bart Custers, Toon Calders, Bart W. Schermer, Tal Z. Zarsky
2013 — ch.
Introducing Positive Discrimination in Predictive Models.
Discrimination and Privacy in the Information Society
Sicco Verwer, Toon Calders
2013 — conf
Introduction to Pattern Mining.
eBISS
Toon Calders
2013 — conf
Predicting Current User Intent with Contextual Markov Models.
ICDM Workshops
Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders
2013 J jnl
Quantifying explainable discrimination and removing illegal discrimination in automated decision making.
Knowl. Inf. Syst.
Faisal Kamiran, Indre Zliobaite, Toon Calders
2013 — ch.
Techniques for Discrimination-Free Predictive Models.
Discrimination and Privacy in the Information Society
Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
2013 — ch.
The Way Forward.
Discrimination and Privacy in the Information Society
Bart Custers, Toon Calders, Tal Z. Zarsky, Bart W. Schermer
2013 — conf
Vers une mesure de similarité pour les séquences complexes.
EGC
Elias Egho, Chedy Raïssi, Toon Calders, Thomas Bourquard, Nicolas Jay, Amedeo Napoli
2013 — ch.
What Is Data Mining and How Does It Work?
Discrimination and Privacy in the Information Society
Toon Calders, Bart Custers
2013 — ch.
Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures.
Discrimination and Privacy in the Information Society
Toon Calders, Indre Zliobaite
2013 — conf
Zips: mining compressing sequential patterns in streams.
IDEA@KDD
Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin
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 A conf
Mining Compressing Sequential Patterns.
SDM
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders
2012 B conf
Recent Developments in Pattern Mining.
ALT
Toon Calders
2012 B conf
Recent Developments in Pattern Mining.
Discovery Science
Toon Calders
2011 J jnl
All normalized anti-monotonic overlap graph measures are bounded.
Data Min. Knowl. Discov.
Toon Calders, Jan Ramon, Dries Van Dyck
2011 J jnl
Data preprocessing techniques for classification without discrimination.
Knowl. Inf. Syst.
Faisal Kamiran, Toon Calders
2011 A* conf
Handling Conditional Discrimination.
ICDM
Indre Zliobaite, Faisal Kamiran, Toon Calders
2011 J jnl
Introduction to the special section on educational data mining.
SIGKDD Explor.
Toon Calders, Mykola Pechenizkiy
2011 A conf
Online Discovery of Top-k Similar Motifs in Time Series Data.
SDM
Hoang Thanh Lam, Toon Calders, Ninh Pham
2011 B ed.
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011
EDM
Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper
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 A* conf
Discrimination Aware Decision Tree Learning.
ICDM
Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
2010 — conf
Efficient Pattern Mining of Uncertain Data with Sampling.
PAKDD (1)
Toon Calders, Calin Garboni, Bart Goethals
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 B conf
InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance.
IDA
Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, Joost N. Kok
2010 A* conf
Mining top-k frequent items in a data stream with flexible sliding windows.
KDD
Hoang Thanh Lam, Toon Calders
2010 J jnl
Three naive Bayes approaches for discrimination-free classification.
Data Min. Knowl. Discov.
Toon Calders, Sicco Verwer
2009 — conf
Building Classifiers with Independency Constraints.
ICDM Workshops
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
2009 Misc conf
Using minimum description length for process mining.
SAC
Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat
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 A* conf
Anti-monotonic Overlap-Graph Support Measures.
ICDM
Toon Calders, Jan Ramon, Dries Van Dyck
2008 J jnl
Itemset frequency satisfiability: Complexity and axiomatization.
Theor. Comput. Sci.
Toon Calders
2008 — conf
Min, Max and PTIME Anti-Monotonic Overlap Graph Measures.
MLG@ICML
Toon Calders, Jan Ramon, Dries Van Dyck
2008 — conf
Mining Conjunctive Sequential Patterns.
ECML/PKDD (1)
Chedy Raïssi, Toon Calders, Pascal Poncelet
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 conjunctive sequential patterns.
Data Min. Knowl. Discov.
Chedy Raïssi, Toon Calders, Pascal Poncelet
2008 J jnl
Mining frequent items in a stream using flexible windows.
Intell. Data Anal.
Toon Calders, Nele Dexters, Bart Goethals
2008 B conf
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study.
EDM
Mykola Pechenizkiy, Toon Calders, Ekaterina Vasilyeva, Paul De Bra
2007 J jnl
A new support measure for items in streams.
Monde des Util. Anal. Données
Toon Calders, Nele Dexters, Bart Goethals
2007 — conf
Efficient AUC Optimization for Classification.
PKDD
Toon Calders, Szymon Jaroszewicz
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
2007 J jnl
The complexity of satisfying constraints on databases of transactions.
Acta Informatica
Toon Calders
2007 B conf
Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07).
ICALT
Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola
2006 A* conf
Analyzing workflows implied by instance-dependent access rules.
PODS
Toon Calders, Stijn Dekeyser, Jan Hidders, Jan Paredaens
2006 J jnl
Expressive power of an algebra for data mining.
ACM Trans. Database Syst.
Toon Calders, Laks V. S. Lakshmanan, Raymond T. Ng, Jan Paredaens
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 — conf
Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process.
CSMR
Andy Zaidman, Toon Calders, Serge Demeyer, Jan Paredaens
2005 A conf
Depth-First Non-Derivable Itemset Mining.
SDM
Toon Calders, Bart Goethals
2005 — conf
Quick Inclusion-Exclusion.
KDID
Toon Calders, Bart Goethals
2004 — conf
A Survey on Condensed Representations for Frequent Sets.
Constraint-Based Mining and Inductive Databases
Toon Calders, Christophe Rigotti, Jean-François Boulicaut
2004 A* conf
Computational Complexity of Itemset Frequency Satisfiability.
PODS
Toon Calders
2004 — ch.
Deducing Bounds on the Support of Itemsets.
Database Support for Data Mining Applications
Toon Calders
2004 — conf
Theoretical Bounds on the Size of Condensed Representations.
KDID
Nele Dexters, Toon Calders
2003 J jnl
Axiomatization of frequent itemsets.
Theor. Comput. Sci.
Toon Calders, Jan Paredaens
2003 — conf
Minimal
PKDD
Toon Calders, 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 J jnl
Searching for dependencies at multiple abstraction levels.
ACM Trans. Database Syst.
Toon Calders, Raymond T. Ng, Jef Wijsen
2001 A conf
Axiomatization of Frequent Sets.
ICDT
Toon Calders, Jan Paredaens
2001 — conf
On Monotone Data Mining Languages.
DBPL
Toon Calders, Jef Wijsen
2000 B conf
Mining Frequent Binary Expressions.
DaWaK
Toon Calders, Jan Paredaens
1999 A* conf
Discovering Roll-Up Dependencies.
KDD
Jef Wijsen, Raymond T. Ng, Toon Calders