default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDToon Calders
Person information
- affiliation: University of Antwerp, Antwerp, Belgium
- affiliation (former): Eindhoven University of Technology, Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j35]Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci:
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. J. Intell. Inf. Syst. 62(5): 1455-1492 (2024)- [j34]Sofie Goethals
, David Martens, Toon Calders:
PreCoF: counterfactual explanations for fairness. Mach. Learn. 113(5): 3111-3142 (2024) - [c84]Gemma Galdon Clavell, Ariane Aumaitre, Toon Calders:
How a socio-technical approach to AI auditing can change how we understand and measure fairness in machine learning systems. AIMMES 2024 - [c83]Ewoenam Kwaku Tokpo, Toon Calders:
FairFlow: An Automated Approach to Model-Based Counterfactual Data Augmentation for NLP. ECML/PKDD (7) 2024: 160-176 - [c82]Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti:
Interpretable and Fair Mechanisms for Abstaining Classifiers. ECML/PKDD (7) 2024: 416-433 - [i14]Sofie Goethals, Toon Calders, David Martens:
Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics. CoRR abs/2401.13391 (2024) - [i13]Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer:
How to be fair? A study of label and selection bias. CoRR abs/2403.14282 (2024) - [i12]Marco Favier, Toon Calders:
Cherry on the Cake: Fairness is NOT an Optimization Problem. CoRR abs/2406.16606 (2024) - [i11]Ewoenam Kwaku Tokpo, Toon Calders:
FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP. CoRR abs/2407.16431 (2024) - [i10]Marco Favier, Toon Calders:
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions. CoRR abs/2408.00330 (2024) - 2023
- [j33]Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer:
How to be fair? A study of label and selection bias. Mach. Learn. 112(12): 5081-5104 (2023) - [c81]Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders:
How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification. EACL 2023: 3410-3425 - [c80]Sofie Goethals, David Martens, Toon Calders:
Explainability Methods to Detect and Measure Discrimination in Machine Learning Models. EWAF 2023 - [c79]Daphne Lenders, Toon Calders:
Functional Requirements for Interactive Bias-Audit Tools. HHAI 2023: 426-428 - [c78]Daphne Lenders, Toon Calders:
Real-life Performance of Fairness Interventions - Introducing A New Benchmarking Dataset for Fair ML. SAC 2023: 350-357 - [e8]Toon Calders, Celine Vens, Jefrey Lijffijt, Bart Goethals:
Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022, Revised Selected Papers. Communications in Computer and Information Science 1805, Springer 2023, ISBN 978-3-031-39143-9 [contents] - [i9]Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, Toon Calders:
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification. CoRR abs/2301.12855 (2023) - [i8]Ewoenam Kwaku Tokpo, Toon Calders:
Model-based Counterfactual Generator for Gender Bias Mitigation. CoRR abs/2311.03186 (2023) - 2022
- [j32]Lennert Verboven, Toon Calders, Steven Callens, John Black, Gary Maartens, Kelly E. Dooley, Samantha Potgieter, Robin M. Warren, Kris Laukens, Annelies Van Rie:
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. 22(1): 56 (2022) - [c77]Ewoenam Kwaku Tokpo, Toon Calders:
Text Style Transfer for Bias Mitigation using Masked Language Modeling. NAACL-HLT (Student Research Workshop) 2022: 163-171 - [c76]Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt:
Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models. NAACL-HLT 2022: 1693-1706 - [c75]Sam Pinxteren, Marco Favier, Toon Calders:
RangeGrad: Explaining Neural Networks by Measuring Uncertainty Through Bound Propagation. PKDD/ECML Workshops (1) 2022: 336-352 - [i7]Ewoenam Kwaku Tokpo, Toon Calders:
Text Style Transfer for Bias Mitigation using Masked Language Modeling. CoRR abs/2201.08643 (2022) - 2021
- [j31]Faisal Orakzai, Torben Bach Pedersen, Toon Calders:
Distributed mining of convoys in large scale datasets. GeoInformatica 25(2): 353-396 (2021) - [j30]Hafiz Hassaan Saeed, Muhammad Haseeb Ashraf, Faisal Kamiran, Asim Karim, Toon Calders:
Roman Urdu toxic comment classification. Lang. Resour. Evaluation 55(4): 971-996 (2021) - [j29]Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Salvatore Ruggieri:
Introduction to The Special Section on Bias and Fairness in AI. SIGKDD Explor. 23(1): 1-3 (2021) - [c74]Muhammad Aamir Saleem, Toon Calders, Torben Bach Pedersen, Panagiotis Karras:
Finding Geo-Social Cohorts in Location-Based Social Networks. APWeb/WAIM (2) 2021: 368-383 - [c73]Stephen Pauwels, Toon Calders:
Incremental Predictive Process Monitoring: The Next Activity Case. BPM 2021: 123-140 - [c72]Daphne Lenders, Toon Calders:
Learning a Fair Distance Function for Situation Testing. PKDD/ECML Workshops (1) 2021: 631-646 - [c71]Sam Pinxteren, Toon Calders:
Efficient Permutation Testing for Significant Sequential Patterns. SDM 2021: 19-27 - [i6]Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt:
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models. CoRR abs/2112.07447 (2021) - 2020
- [j28]Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders:
Keeping the Data Lake in Form: Proximity Mining for Pre-Filtering Schema Matching. ACM Trans. Inf. Syst. 38(3): 26:1-26:30 (2020) - [c70]Stephen Pauwels, Toon Calders:
Bayesian Network Based Predictions of Business Processes. BPM (Forum) 2020: 159-175
2010 – 2019
- 2019
- [j27]Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Torben Bach Pedersen:
Effective and efficient location influence mining in location-based social networks. Knowl. Inf. Syst. 61(1): 327-362 (2019) - [j26]Faisal Orakzai, Toon Calders, Torben Bach Pedersen:
k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning. Proc. VLDB Endow. 12(9): 948-960 (2019) - [c69]Stephen Pauwels, Toon Calders:
ACD2: A Tool to Interactively Explore Business Process Logs. BPM (PhD/Demos) 2019: 129-133 - [c68]Angelo Impedovo, Michelangelo Ceci, Toon Calders:
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS 2019: 396-411 - [c67]Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders:
Keeping the Data Lake in Form: DS-kNN Datasets Categorization Using Proximity Mining. MEDI 2019: 35-49 - [c66]Stephen Pauwels, Toon Calders:
An anomaly detection technique for business processes based on extended dynamic bayesian networks. SAC 2019: 494-501 - 2018
- [j25]Michelangelo Ceci, Toon Calders:
Introduction to the special issue on discovery science. Mach. Learn. 107(11): 1647-1649 (2018) - [j24]Karam Gouda, Mona Arafa, Toon Calders:
A novel hierarchical-based framework for upper bound computation of graph edit distance. Pattern Recognit. 80: 210-224 (2018) - [j23]Rohit Kumar, Toon Calders:
2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles. Proc. VLDB Endow. 11(11): 1441-1453 (2018) - [c65]Muhammad Aamir Saleem, Felipe Soares Da Costa, Peter Dolog, Panagiotis Karras, Torben Bach Pedersen, Toon Calders:
Predicting Visitors Using Location-Based Social Networks. MDM 2018: 245-250 - [i5]Stephen Pauwels, Toon Calders:
Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs. CoRR abs/1805.07107 (2018) - [i4]Stephen Pauwels, Toon Calders:
Detecting and Explaining Drifts in Yearly Grant Applications. CoRR abs/1809.05650 (2018) - 2017
- [j22]Tanvir Ahmed, Toon Calders, Hua Lu, Torben Bach Pedersen:
Risk detection and prediction from indoor tracking data. ACM SIGSPATIAL Special 9(2): 11-18 (2017) - [c64]Rohit Kumar, Alberto Abelló, Toon Calders:
Cost Model for Pregel on GraphX. ADBIS 2017: 153-166 - [c63]Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen:
IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks. CIKM 2017: 2523-2526 - [c62]Toon Calders:
Three Big Data Tools for a Data Scientist's Toolbox. eBISS 2017: 112-133 - [c61]Rohit Kumar, Toon Calders:
Information Propagation in Interaction Networks. EDBT 2017: 270-281 - [c60]Rohit Kumar, Toon Calders:
Finding simple temporal cycles in an interaction network. TD-LSG@PKDD/ECML 2017: 3-6 - [c59]Rohit Kumar, Muhammad Aamir Saleem, Toon Calders, Xike Xie, Torben Bach Pedersen:
Activity-Driven Influence Maximization in Social Networks. ECML/PKDD (3) 2017: 345-348 - [c58]Ayman Alserafi, Toon Calders, Alberto Abelló, Oscar Romero:
DS-Prox: Dataset Proximity Mining for Governing the Data Lake. SISAP 2017: 284-299 - [c57]Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen:
Location Influence in Location-based Social Networks. WSDM 2017: 621-630 - 2016
- [c56]Petar Jovanovic, Oscar Romero, Toon Calders, Alberto Abelló:
H-WorD: Supporting Job Scheduling in Hadoop with Workload-Driven Data Redistribution. ADBIS 2016: 306-320 - [c55]Toon Calders:
Fairness-Aware Data Mining. EGC 2016: 3-4 - [c54]Ayman Alserafi, Alberto Abelló, Oscar Romero, Toon Calders:
Towards Information Profiling: Data Lake Content Metadata Management. ICDM Workshops 2016: 178-185 - [c53]Tanvir Ahmed, Torben Bach Pedersen, Toon Calders, Hua Lu:
Online Risk Prediction for Indoor Moving Objects. MDM 2016: 102-111 - [c52]Faisal Orakzai, Toon Calders, Torben Bach Pedersen:
Distributed Convoy Pattern Mining. MDM 2016: 122-131 - [c51]Karam Gouda, Mona Arafa, Toon Calders:
BFST_ED: A Novel Upper Bound Computation Framework for the Graph Edit Distance. SISAP 2016: 3-19 - [e7]Toon Calders, Michelangelo Ceci, Donato Malerba:
Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings. Lecture Notes in Computer Science 9956, 2016, ISBN 978-3-319-46306-3 [contents] - [i3]Toon Calders, Dimitri Van Assche:
PROMETHEE is Not Quadratic: An O(qn log(n)) Algorithm. CoRR abs/1603.00091 (2016) - 2015
- [j21]Elias Egho, Chedy Raïssi, Toon Calders, Nicolas Jay, Amedeo Napoli:
On measuring similarity for sequences of itemsets. Data Min. Knowl. Discov. 29(3): 732-764 (2015) - [c50]Julia Efremova, Alejandro Montes García, Toon Calders:
Classification of Historical Notary Acts with Noisy Labels. ECIR 2015: 49-54 - [c49]Faisal Orakzai, Thomas Devogele, Toon Calders:
Towards distributed convoy pattern mining. SIGSPATIAL/GIS 2015: 50:1-50:4 - [c48]Tanvir Ahmed, Toon Calders, Torben Bach Pedersen:
Mining Risk Factors in RFID Baggage Tracking Data. MDM (1) 2015: 235-242 - [c47]Bijan Ranjbar Sahraei, Julia Efremova, Hossein Rahmani, Toon Calders, Karl Tuyls, Gerhard Weiss:
HiDER: Query-Driven Entity Resolution for Historical Data. ECML/PKDD (3) 2015: 281-284 - [c46]Rohit Kumar, Toon Calders, Aristides Gionis, Nikolaj Tatti:
Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks. ECML/PKDD (2) 2015: 719-735 - [c45]Julia Efremova, Alejandro Montes García, Alfredo Bolt Iriondo, Toon Calders:
Who Are My Ancestors? Retrieving Family Relationships from Historical Texts. RuSSIR 2015: 121-129 - [c44]Julia Efremova, Alejandro Montes García, Jianpeng Zhang, Toon Calders:
Effects of Evolutionary Linguistics in Text Classification. SLSP 2015: 50-61 - [p9]Julia Efremova, Bijan Ranjbar Sahraei, Hossein Rahmani, Frans A. Oliehoek, Toon Calders, Karl Tuyls, Gerhard Weiss:
Multi-Source Entity Resolution for Genealogical Data. Population Reconstruction 2015: 129-154 - [e6]Esteban Zimányi, Stijn Vansummeren, Toon Calders:
Actes des 11es journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, EDA 2015, Bruxelles, Belgique, 2-3 avril 2015. RNTI B-11, Hermann-Éditions 2015 [contents] - [i2]Faisal Orakzai, Thomas Devogele, Toon Calders:
Towards Distributed Convoy Pattern Mining. CoRR abs/1512.08150 (2015) - 2014
- [j20]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Guest editors' introduction: special issue of the ECML/PKDD 2014 journal track. Data Min. Knowl. Discov. 28(5-6): 1129-1133 (2014) - [j19]Toon Calders, Nele Dexters, Joris J. M. Gillis, Bart Goethals:
Mining frequent itemsets in a stream. Inf. Syst. 39: 233-255 (2014) - [j18]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. Mach. Learn. 97(1-2): 1-3 (2014) - [j17]Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. Stat. Anal. Data Min. 7(1): 34-52 (2014) - [j16]Nikolaj Tatti, Fabian Moerchen, Toon Calders:
Finding Robust Itemsets under Subsampling. ACM Trans. Database Syst. 39(3): 20:1-20:27 (2014) - [c43]Julia Efremova, Bijan Ranjbar Sahraei, Toon Calders:
A Hybrid Disambiguation Measure for Inaccurate Cultural Heritage Data. LaTeCH@EACL 2014: 47-55 - [e5]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8724, Springer 2014, ISBN 978-3-662-44847-2 [contents] - [e4]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8725, Springer 2014, ISBN 978-3-662-44850-2 [contents] - [e3]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III. Lecture Notes in Computer Science 8726, Springer 2014, ISBN 978-3-662-44844-1 [contents] - 2013
- [j15]Faisal Kamiran, Indre Zliobaite, Toon Calders:
Quantifying explainable discrimination and removing illegal discrimination in automated decision making. Knowl. Inf. Syst. 35(3): 613-644 (2013) - [c42]Toon Calders:
Introduction to Pattern Mining. eBISS 2013: 1-32 - [c41]Elias Egho, Chedy Raïssi, Toon Calders, Thomas Bourquard, Nicolas Jay, Amedeo Napoli:
Vers une mesure de similarité pour les séquences complexes. EGC 2013: 335-340 - [c40]Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang:
Controlling Attribute Effect in Linear Regression. ICDM 2013: 71-80 - [c39]Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders:
Predicting Current User Intent with Contextual Markov Models. ICDM Workshops 2013: 391-398 - [c38]Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin:
Zips: mining compressing sequential patterns in streams. IDEA@KDD 2013: 54-62 - [c37]Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders:
Discovering temporal hidden contexts in web sessions for user trail prediction. WWW (Companion Volume) 2013: 1067-1074 - [p8]Toon Calders, Bart Custers:
What Is Data Mining and How Does It Work? Discrimination and Privacy in the Information Society 2013: 27-42 - [p7]Toon Calders, Indre Zliobaite:
Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures. Discrimination and Privacy in the Information Society 2013: 43-57 - [p6]Faisal Kamiran, Toon Calders, Mykola Pechenizkiy:
Techniques for Discrimination-Free Predictive Models. Discrimination and Privacy in the Information Society 2013: 223-239 - [p5]Sicco Verwer, Toon Calders:
Introducing Positive Discrimination in Predictive Models. Discrimination and Privacy in the Information Society 2013: 255-270 - [p4]Bart Custers, Toon Calders, Tal Z. Zarsky, Bart W. Schermer:
The Way Forward. Discrimination and Privacy in the Information Society 2013: 341-357 - [e2]Bart Custers, Toon Calders, Bart W. Schermer, Tal Z. Zarsky:
Discrimination and Privacy in the Information Society - Data Mining and Profiling in Large Databases. Studies in Applied Philosophy, Epistemology and Rational Ethics 3, Springer 2013, ISBN 978-3-642-30486-6 [contents] - 2012
- [j14]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): 247-287 (2012) - [c36]Toon Calders:
Recent Developments in Pattern Mining. ALT 2012: 34 - [c35]Toon Calders:
Recent Developments in Pattern Mining. Discovery Science 2012: 2 - [c34]Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. SDM 2012: 319-330 - 2011
- [j13]Toon Calders, Jan Ramon, Dries Van Dyck:
All normalized anti-monotonic overlap graph measures are bounded. Data Min. Knowl. Discov. 23(3): 503-548 (2011) - [j12]Faisal Kamiran, Toon Calders:
Data preprocessing techniques for classification without discrimination. Knowl. Inf. Syst. 33(1): 1-33 (2011) - [j11]Toon Calders, Mykola Pechenizkiy:
Introduction to the special section on educational data mining. SIGKDD Explor. 13(2): 3-6 (2011) - [c33]Indre Zliobaite, Faisal Kamiran, Toon Calders:
Handling Conditional Discrimination. ICDM 2011: 992-1001 - [c32]Hoang Thanh Lam, Toon Calders, Ninh Pham:
Online Discovery of Top-k Similar Motifs in Time Series Data. SDM 2011: 1004-1015 - [e1]Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper:
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, ISBN 978-90-386-2537-9 [contents] - 2010
- [j10]Toon Calders, Sicco Verwer:
Three naive Bayes approaches for discrimination-free classification. Data Min. Knowl. Discov. 21(2): 277-292 (2010) - [c31]Toon Calders, Calin Garboni, Bart Goethals:
Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM 2010: 749-754 - [c30]Faisal Kamiran, Toon Calders, Mykola Pechenizkiy:
Discrimination Aware Decision Tree Learning. ICDM 2010: 869-874 - [c29]Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, Joost N. Kok:
InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. IDA 2010: 91-102 - [c28]Hoang Thanh Lam, Toon Calders:
Mining top-k frequent items in a data stream with flexible sliding windows. KDD 2010: 283-292 - [c27]Toon Calders, Calin Garboni, Bart Goethals:
Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) 2010: 480-487 - [p3]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
A Practical Comparative Study Of Data Mining Query Languages. Inductive Databases and Constraint-Based Data Mining 2010: 59-77 - [p2]Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet:
Inductive Querying with Virtual Mining Views. Inductive Databases and Constraint-Based Data Mining 2010: 265-287
2000 – 2009
- 2009
- [c26]Toon Calders, Faisal Kamiran, Mykola Pechenizkiy:
Building Classifiers with Independency Constraints. ICDM Workshops 2009: 13-18 - [c25]Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat:
Using minimum description length for process mining. SAC 2009: 1451-1455 - 2008
- [j9]Chedy Raïssi, Toon Calders, Pascal Poncelet:
Mining conjunctive sequential patterns. Data Min. Knowl. Discov. 17(1): 77-93 (2008) - [j8]Toon Calders, Nele Dexters, Bart Goethals:
Mining frequent items in a stream using flexible windows. Intell. Data Anal. 12(3): 293-304 (2008) - [j7]Toon Calders:
Itemset frequency satisfiability: Complexity and axiomatization. Theor. Comput. Sci. 394(1-2): 84-111 (2008) - [c24]Mykola Pechenizkiy, Toon Calders, Ekaterina Vasilyeva, Paul De Bra:
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study. EDM 2008: 187-191 - [c23]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado:
Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611 - [c22]Toon Calders, Jan Ramon, Dries Van Dyck:
Anti-monotonic Overlap-Graph Support Measures. ICDM 2008: 73-82 - [c21]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
An inductive database prototype based on virtual mining views. KDD 2008: 1061-1064 - [c20]Chedy Raïssi, Toon Calders, Pascal Poncelet:
Mining Conjunctive Sequential Patterns. ECML/PKDD (1) 2008: 19 - 2007
- [j6]Toon Calders:
The complexity of satisfying constraints on databases of transactions. Acta Informatica 44(7-8): 591-624 (2007) - [j5]Toon Calders, Bart Goethals:
Non-derivable itemset mining. Data Min. Knowl. Discov. 14(1): 171-206 (2007) - [j4]Toon Calders, Nele Dexters, Bart Goethals:
A new support measure for items in streams. Monde des Util. Anal. Données 36: 37-41 (2007) - [c19]Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola:
Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934 - [c18]Toon Calders, Nele Dexters, Bart Goethals:
Mining Frequent Itemsets in a Stream. ICDM 2007: 83-92 - [c17]Toon Calders, Szymon Jaroszewicz:
Efficient AUC Optimization for Classification. PKDD 2007: 42-53 - [c16]Toon Calders, Bart Goethals, Michael Mampaey:
Mining itemsets in the presence of missing values. SAC 2007: 404-408 - 2006
- [j3]Toon Calders, Laks V. S. Lakshmanan, Raymond T. Ng, Jan Paredaens:
Expressive power of an algebra for data mining. ACM Trans. Database Syst. 31(4): 1169-1214 (2006) - [c15]Toon Calders, Bart Goethals, Szymon Jaroszewicz:
Mining rank-correlated sets of numerical attributes. KDD 2006: 96-105 - [c14]Toon Calders, Bart Goethals, Adriana Prado:
Integrating Pattern Mining in Relational Databases. PKDD 2006: 454-461 - [c13]Toon Calders, Stijn Dekeyser, Jan Hidders, Jan Paredaens:
Analyzing workflows implied by instance-dependent access rules. PODS 2006: 100-109 - 2005
- [c12]Andy Zaidman, Toon Calders, Serge Demeyer, Jan Paredaens:
Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process. CSMR 2005: 134-142 - [c11]Toon Calders, Bart Goethals:
Quick Inclusion-Exclusion. KDID 2005: 86-103 - [c10]Toon Calders, Bart Goethals:
Depth-First Non-Derivable Itemset Mining. SDM 2005: 250-261 - 2004
- [c9]Toon Calders, Christophe Rigotti, Jean-François Boulicaut:
A Survey on Condensed Representations for Frequent Sets. Constraint-Based Mining and Inductive Databases 2004: 64-80 - [c8]Nele Dexters, Toon Calders:
Theoretical Bounds on the Size of Condensed Representations. KDID 2004: 46-65 - [c7]Toon Calders:
Computational Complexity of Itemset Frequency Satisfiability. PODS 2004: 143-154 - [p1]Toon Calders:
Deducing Bounds on the Support of Itemsets. Database Support for Data Mining Applications 2004: 214-233 - 2003
- [j2]Toon Calders, Jan Paredaens:
Axiomatization of frequent itemsets. Theor. Comput. Sci. 290(1): 669-693 (2003) - [c6]Toon Calders, Bart Goethals:
Minimal k-Free Representations of Frequent Sets. PKDD 2003: 71-82 - 2002
- [j1]Toon Calders, Raymond T. Ng, Jef Wijsen:
Searching for dependencies at multiple abstraction levels. ACM Trans. Database Syst. 27(3): 229-260 (2002) - [c5]Toon Calders, Bart Goethals:
Mining All Non-derivable Frequent Itemsets. PKDD 2002: 74-85 - [i1]Toon Calders, Bart Goethals:
Mining All Non-Derivable Frequent Itemsets. CoRR cs.DB/0206004 (2002) - 2001
- [c4]Toon Calders, Jef Wijsen:
On Monotone Data Mining Languages. DBPL 2001: 119-132 - [c3]Toon Calders, Jan Paredaens:
Axiomatization of Frequent Sets. ICDT 2001: 204-218 - 2000
- [c2]Toon Calders, Jan Paredaens:
Mining Frequent Binary Expressions. DaWaK 2000: 399-408
1990 – 1999
- 1999
- [c1]Jef Wijsen, Raymond T. Ng, Toon Calders:
Discovering Roll-Up Dependencies. KDD 1999: 213-222
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:11 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
