Toon Calders

Bart Custers, Toon Calders, Bart Schermer, Tal Z. Zarsky (Eds.): 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

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)

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

Toon Calders, Bart Custers: What Is Data Mining and How Does It Work? Discrimination and Privacy in the Information Society 2013: 27-42

Toon Calders, Indre Zliobaite: Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures. Discrimination and Privacy in the Information Society 2013: 43-57

Faisal Kamiran, Toon Calders, Mykola Pechenizkiy: Techniques for Discrimination-Free Predictive Models. Discrimination and Privacy in the Information Society 2013: 223-239

Sicco Verwer, Toon Calders: Introducing Positive Discrimination in Predictive Models. Discrimination and Privacy in the Information Society 2013: 255-270

Bart Custers, Toon Calders, Tal Z. Zarsky, Bart Schermer: The Way Forward. Discrimination and Privacy in the Information Society 2013: 341-357

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)

Toon Calders: Recent Developments in Pattern Mining. ALT 2012: 34

Toon Calders: Recent Developments in Pattern Mining. Discovery Science 2012: 2

Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders: Mining Compressing Sequential Patterns. SDM 2012: 319-330

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)

Faisal Kamiran, Toon Calders: Data preprocessing techniques for classification without discrimination. Knowl. Inf. Syst. 33(1): 1-33 (2011)

Toon Calders, Mykola Pechenizkiy: Introduction to the special section on educational data mining. SIGKDD Explorations 13(2): 3-6 (2011)

Indre Zliobaite, Faisal Kamiran, Toon Calders: Handling Conditional Discrimination. ICDM 2011: 992-1001

Hoang Thanh Lam, Toon Calders, Ninh Pham: Online Discovery of Top-k Similar Motifs in Time Series Data. SDM 2011: 1004-1015

Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper (Eds.): 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

Toon Calders, Sicco Verwer: Three naive Bayes approaches for discrimination-free classification. Data Min. Knowl. Discov. 21(2): 277-292 (2010)

Toon Calders, Calin Garboni, Bart Goethals: Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM 2010: 749-754

Faisal Kamiran, Toon Calders, Mykola Pechenizkiy: Discrimination Aware Decision Tree Learning. ICDM 2010: 869-874

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

Hoang Thanh Lam, Toon Calders: Mining top-k frequent items in a data stream with flexible sliding windows. KDD 2010: 283-292

Toon Calders, Calin Garboni, Bart Goethals: Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) 2010: 480-487

Toon Calders, Faisal Kamiran, Mykola Pechenizkiy: Building Classifiers with Independency Constraints. ICDM Workshops 2009: 13-18

Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat: Using minimum description length for process mining. SAC 2009: 1451-1455

Chedy Raïssi, Toon Calders, Pascal Poncelet: Mining conjunctive sequential patterns. Data Min. Knowl. Discov. 17(1): 77-93 (2008)

Toon Calders, Nele Dexters, Bart Goethals: Mining frequent items in a stream using flexible windows. Intell. Data Anal. 12(3): 293-304 (2008)

Toon Calders: Itemset frequency satisfiability: Complexity and axiomatization. Theor. Comput. Sci. 394(1-2): 84-111 (2008)

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

Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado: Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611

Toon Calders, Jan Ramon, Dries Van Dyck: Anti-monotonic Overlap-Graph Support Measures. ICDM 2008: 73-82

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

Chedy Raïssi, Toon Calders, Pascal Poncelet: Mining Conjunctive Sequential Patterns. ECML/PKDD (1) 2008: 19

Toon Calders: The complexity of satisfying constraints on databases of transactions. Acta Inf. 44(7-8): 591-624 (2007)

Toon Calders, Bart Goethals: Non-derivable itemset mining. Data Min. Knowl. Discov. 14(1): 171-206 (2007)

Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola: Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934

Toon Calders, Nele Dexters, Bart Goethals: Mining Frequent Itemsets in a Stream. ICDM 2007: 83-92

Toon Calders, Szymon Jaroszewicz: Efficient AUC Optimization for Classification. PKDD 2007: 42-53

Toon Calders, Bart Goethals, Michael Mampaey: Mining itemsets in the presence of missing values. SAC 2007: 404-408

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)

Toon Calders, Bart Goethals, Szymon Jaroszewicz: Mining rank-correlated sets of numerical attributes. KDD 2006: 96-105

Toon Calders, Bart Goethals, Adriana Prado: Integrating Pattern Mining in Relational Databases. PKDD 2006: 454-461

Toon Calders, Stijn Dekeyser, Jan Hidders, Jan Paredaens: Analyzing workflows implied by instance-dependent access rules. PODS 2006: 100-109

Andy Zaidman, Toon Calders, Serge Demeyer, Jan Paredaens: Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process. CSMR 2005: 134-142

Toon Calders, Bart Goethals: Quick Inclusion-Exclusion. KDID 2005: 86-103

Toon Calders, Bart Goethals: Depth-First Non-Derivable Itemset Mining. SDM 2005

Toon Calders, Christophe Rigotti, Jean-François Boulicaut: A Survey on Condensed Representations for Frequent Sets. Constraint-Based Mining and Inductive Databases 2004: 64-80

Toon Calders: Deducing Bounds on the Support of Itemsets. Database Support for Data Mining Applications 2004: 214-233

Nele Dexters, Toon Calders: Theoretical Bounds on the Size of Condensed Representations. KDID 2004: 46-65

Toon Calders: Computational Complexity of Itemset Frequency Satisfiability. PODS 2004: 143-154

Toon Calders, Jan Paredaens: Axiomatization of frequent itemsets. Theor. Comput. Sci. 290(1): 669-693 (2003)

Toon Calders, Bart Goethals: Minimal k-Free Representations of Frequent Sets. PKDD 2003: 71-82

Toon Calders, Raymond T. Ng, Jef Wijsen: Searching for dependencies at multiple abstraction levels. ACM Trans. Database Syst. 27(3): 229-260 (2002)

Toon Calders, Bart Goethals: Mining All Non-derivable Frequent Itemsets. PKDD 2002: 74-85

Toon Calders, Bart Goethals: Mining All Non-Derivable Frequent Itemsets. CoRR cs.DB/0206004 (2002)

Toon Calders, Jef Wijsen: On Monotone Data Mining Languages. DBPL 2001: 119-132

Toon Calders, Jan Paredaens: Axiomatization of Frequent Sets. ICDT 2001: 204-218

Toon Calders, Jan Paredaens: Mining Frequent Binary Expressions. DaWaK 2000: 399-408

Jef Wijsen, Raymond T. Ng, Toon Calders: Discovering Roll-Up Dependencies. KDD 1999: 213-222