====== Publications ======
===== Books and Edited Volumes =====
  - {{ :dadm-book.jpg?65|}}Bart Custers, Toon Calders, Bart Schermer, Tal Z. Zarsky (Eds.): [[http://link.springer.com/book/10.1007/978-3-642-30487-3/page/1|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
  - Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastian Ventura, Cristobal Romero, and John Stamper (Eds.) [[http://educationaldatamining.org/EDM2011/proceedings-2|Proceedings of the 4th International Conference on Educational Data Mining]]  ISBN 978-90-386-2537-9, TU Eindhoven (2011)
  - Toon Calders, Karl Tuyls, and Mykola Pechenizkiy (Eds.)  [[http://wwwis.win.tue.nl/bnaic2009/proc.html|Proceedings of the 21st Benelux conference on Artificial Intelligence (BNAIC)]]  ISSN 1568-7805, TU Eindhoven (2009)
  - C. Romero, Mykola Pechenizkiy, Toon Calders, J.E. Beck, and F. Van Assche (Eds.) [[http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-305/|Proceedings of the International Workshop on Applying Data Mining in e-Learning (ADML-2007)]] Vol. 305, CEUR-WS (2007)

===== Journal papers =====
  - Hoang Thanh Lam, Fabian Morchen, Dmitriy Fradkin, and Toon Calders. Mining Compressing Sequential Patterns. In: Statistical Analysis and Data Mining. Wiley (Accepted; to appear, 2013)
  - Nikolaj Tatti, Fabian Moerchen, and Toon Calders. [[http://tods.acm.org/accepted/2013/TattiFinding.pdf|Finding Robust Itemsets Under Subsampling.]] In: ACM Transactions on Database Systems (ACM TODS), ACM Press (In Press, to appear 2013)
  - Toon Calders, Nele Dexters, Joris Gillis, and Bart Goethals. [[http://www.sciencedirect.com/science?_ob=MiamiImageURL&_cid=271528&_user=532047&_pii=S0306437912000087&_check=y&_origin=article&_zone=toolbar&_coverDate=2012-Jan-30&view=c&originContentFamily=serial&wchp=dGLbVBA-zSkzk&md5=9e74d88b29f0ed356541794f5ac597ac&pid=1-s2.0-S0306437912000087-main.pdf|Mining frequent itemsets in a stream.]] In: Elsevier Information Systems (In Press, to appear 2013)
  - Faisal Kamiran, Indre Zliobaite, and Toon Calders. Quantifying explainable discrimination and removing illegal discrimination in automated decision making. In: Knowledge and Information Systems (KAIS), Volume 35, Issue 3, pp 613-644 Springer (2013)
  - Faisal Kamiran and Toon Calders. Data preprocessing techniques for classification without discrimination. In: Knowledge and Information Systems (KAIS), Volume 33, Issue 1, pp 1-33 Springer (2012)
  - Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, and Celine Robardet. An Inductive Database System Based on Virtual Mining Views. In: Data Mining journal Vol. 24(1): pp. 247-287 (2012)
  - Toon Calders and Mykola Pechenizkiy. Introduction to the special section on educational data mining. In: SIGKDD Explorations Vol. 13(2): pp. 3-6 (2011)
  - Toon Calders, Dries van Dyck, and Jan Ramon. All normalized anti-monotonic overlap graph measures are bounded. In: Data Mining journal Vol. 23(3): pp. 503-548 (2011)
  - Toon Calders and Sicco Verwer. Three Naive Bayes Approaches for Discrimination-Free Classification. In: Data Mining journal; special issue with selected papers from ECML/PKDD (2010)
  - Chedy Raissi, Toon Calders, and Pascal Poncelet. Mining conjunctive sequential patterns. In: Data Min. Knowl. Discov. Vol. 17(1): pp. 77-93 (2008)
  - Toon Calders, Nele Dexters, and Bart Goethals. Mining frequent items in a stream using flexible windows. In: Intell. Data Anal. Vol. 12(3): pp. 293-304 (2008)
  - Toon Calders. Itemset frequency satisfiability: Complexity and axiomatization. In: Theor. Comput. Sci. Vol. 394(1-2): pp. 84-111 (2008)
  - Toon Calders. The complexity of satisfying constraints on databases of transactions. In: Acta Inf. Vol. 44(7-8): pp. 591-624 (2007)
  - Toon Calders and Bart Goethals. Non-derivable itemset mining. In: Data Min. Knowl. Discov. Vol. 14(1): pp. 171-206 (2007)
  - Toon Calders, Nele Dexters, and Bart Goethals. A New Support Measure for Items in Streams. In: Le Monde des Utilisateurs de L'Analyse de Donnees (La Revue MODULAD) Vol. 36: pp. 37--41 (2007)
  - Toon Calders, Laks V. S. Lakshmanan, Raymond T. Ng, and Jan Paredaens. Expressive power of an algebra for data mining. In: ACM Trans. Database Syst. Vol. 31(4): pp. 1169-1214 (2006)
  - Toon Calders and Jan Paredaens. Axiomatization of frequent itemsets. In: Theor. Comput. Sci. Vol. 290(1): pp. 669-693 (2003)
  - Toon Calders, Raymond T. Ng, and Jef Wijsen. Searching for dependencies at multiple abstraction levels. In: ACM Trans. Database Syst. Vol. 27(3): pp. 229-260 (2002)

===== Book Chapters =====
  - Toon Calders, George Fletcher, Faisal Kamiran, and Mykola Pechenizkiy. Technologies for Dealing with Information Overload: An Engineers' Point of View. In: Information Overload: An International Challenge for Professional Engineers and Technical Communicators, IEEE Wiley (2012)
  - Toon Calders and Bart H.M. Custers. What Is Data Mining and How Does It Work?. In: Discrimination and Privacy in the Information Society. Effects of Data Mining and Profiling Large Databases. Springer (2013)
  - Toon Calders and Indre Zliobaite. Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures. In: Discrimination and Privacy in the Information Society. Effects of Data Mining and Profiling Large Databases. Springer (2013)
  - Faisal Kamiran, Toon Calders, and Mykola Pechenizkiy. Techniques for Discrimination-Free Predictive Models. In: Discrimination and Privacy in the Information Society. Effects of Data Mining and Profiling Large Databases. Springer (2013)
  - Sicco Verwer and Toon Calders. Introducing Positive Discrimination in Predictive Models. In: Discrimination and Privacy in the Information Society. Effects of Data Mining and Profiling Large Databases. Springer (2013)
  - Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, and Celine Robardet. Inductive Querying with Virtual Mining Views. In: Inductive Databases and Constraint-Based Data Mining (2010)
  - Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, and Celine Robardet. A Practical Comparative Study Of Data Mining Query Languages. In: Inductive Databases and Constraint-Based Data Mining. Springer (2010)
  - Enrique Garcia, Cristobal Romero, Sebastian Ventura, Carlos de Castro, and Toon Calders. Chapter 7: Association Rule Mining in Learning Management Systems. In: Handbook of Educational Data Mining, Taylor & Francis Group (2010)
  - Toon Calders, Christophe Rigotti, and Jean-Francois Boulicaut. A Survey on Condensed Representations for Frequent Sets. In: Constraint-Based Mining and Inductive Databases: pp. 64-80. Springer (2006)

===== Articles in Conference and Workshop Proceedings =====
  - Toon Calders, Elisa Fromont, Baptiste Jeudy and Hoang Thanh Lam. Analysis of Videos using Tile Mining. In: RealStream workshop at ECML PKDD 2013.
  - Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont, and Toon Calders. Extraction des top-k plus grandes tuiles dans un flux de données. CAP (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 (2013)
  - Toon Calders. Recent Developments in Pattern Mining. Proceedings ALT: 34 (2012)
  - Toon Calders. Recent Developments in Pattern Mining. Proceedings Discovery Science: 2 (2012)
  - Toon Calders and Mykola Pechenizkiy. Cost-Sensitive Classification Problem. In: Workshop on Teachning Machine Learning (TML) at ICML (2012)
  - Hoang Thanh Lam, Fabian Moerchen, Dimitry Fradkin, and Toon Calders. Mining compressing sequential patterns. In: SIAM Data Mining Conference (SDM) (2012)
  - Indre Zliobaite, Faisal Kamiran, and Toon Calders. Handling Conditional Discrimination. In: Proceedings IEEE ICDM International Conference on Data Mining (2011)
  - Hoang Thanh Lam, Ninh Dang Pham, and Toon Calders. Online Discovery of Top-k Similar Motifs in Time Series Data. In: SIAM Data Mining Conference (SDM) (2011)
  - Faisal Kamiran, Toon Calders, and Mykola Pechenizkiy. Discrimination Aware Decision Tree Learning. In: Proceedings IEEE ICDM International Conference on Data Mining (2010)
  - Toon Calders, Calin Garboni, and Bart Goethals. Approximating Frequentness Probability of Itemsets in Uncertain Data. In: Proceedings IEEE ICDM International Conference on Data Mining (2010)
  - Faisal Kamiran and Toon Calders. Classification Without Discrimination by Preferential Sampling. In: Proceedings Benelearn conference (2010)
  - Hoang Thanh Lam and Toon Calders. Mining Top-K Frequent Items in a Data Stream with Flexible Sliding Windows. In: Proceedings ACM SIGKDD (2010)
  - Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, and Joost N. Kok. InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. In: IDA: pp. 91-102 (2010)
  - Toon Calders, Calin Garboni, and Bart Goethals. Efficient Pattern Mining of Uncertain Data with Sampling. In: PAKDD (1): pp. 480-487 (2010)
  - Toon Calders, Faisal Kamiran, and Mykola Pechenizkiy. Building Classifiers with Independency Constraints. In: IEEE ICDM Workshop Domain Driven Data Mining (DDDM): pp. 13-18 (2009)
  - Toon Calders, Christian W. Guenther, Mykola Pechenizkiy, and Anne Rozinat. Using minimum description length for process mining. In: SAC: pp. 1451-1455 (2009)
  - Faisal Kamiran and Toon Calders. Classification Without Discrimination. In: IEEE International Conference on Computer, Control and Communication (IEEE-IC4), IEEE Press (2009)
  - Faisal Kamiran and Toon Calders. Discrimination-Aware Classification (Extended Abstract). In: 21st Benelux Conference on Artificial Intelligence (BNAIC): pp. 333-334 (2009)
  - Chedy Raissi, Toon Calders, and Pascal Poncelet. Mining Conjunctive Sequential Patterns: Extended Abstract. In: ECML/PKDD (1): pp. 19 (2008)
  - Mykola Pechenizkiy, Toon Calders, Ekaterina Vasilyeva, and Paul De Bra. Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study. In: EDM: pp. 187-191 (2008)
  - Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, and Adriana Prado. Mining Views: Database Views for Data Mining. In: ICDE: pp. 1608-1611 (2008)
  - Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, and Céline Robardet. An inductive database prototype based on virtual mining views. In: KDD: pp. 1061-1064 (2008)
  - Toon Calders, Jan Ramon, and Dries Van Dyck. Anti-monotonic Overlap-Graph Support Measures. In: ICDM: pp. 73-82 (2008)
  - Toon Calders, Jan Ramon, and Dries Van Dyck. Min, Max and PTIME Anti-Monotonic Overlap Graph Measures. In: 6th International Workshop on Mining and Learning with Graphs (MLG) (2008)
  - Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, and Silvia Rita Viola. Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). In: ICALT: pp. 933-934 (2007)
  - Toon Calders, Nele Dexters, and Bart Goethals. Mining Frequent Itemsets in a Stream. In: ICDM: pp. 83-92 (2007)
  - Toon Calders and Szymon Jaroszewicz. Efficient AUC Optimization for Classification. In: PKDD: pp. 42-53 (2007)
  - Toon Calders, Bart Goethals, and Michael Mampaey. Mining itemsets in the presence of missing values. In: SAC: pp. 404-408 (2007)
  - Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, and Adriana Prado. Mining Views: Database Views for Data Mining. In: ECML/PKDD-2007 International Workshop on Constraint-Based Mining and Learning (CMILE) (2007)
  - E. Garcia, C. Romero, S. Ventura, and Toon Calders. Drawbacks and solutions of applying association rule mining in learning management systems. In: Proc. EC-TEL07 Workshop on Applying Data Mining in e-Learning (ADML-07) (2007)
  - Mykola Pechenizkiy and Toon Calders. A Framework for Guiding the Museum Tour Personalization. In: Proceedings UM 2007 International Workshop on Personalization Enhanced Access to Cultural Heritage (CHIP) (2007)
  - Toon Calders, Bart Goethals, and Szymon Jaroszewicz. Mining rank-correlated sets of numerical attributes. In: KDD: pp. 96-105 (2006)
  - Toon Calders, Bart Goethals, and Adriana Prado. Integrating Pattern Mining in Relational Databases. In: PKDD: pp. 454-461 (2006)
  - Toon Calders, Stijn Dekeyser, Jan Hidders, and Jan Paredaens. Analyzing workflows implied by instance-dependent access rules. In: PODS: pp. 100-109 (2006)
  - Toon Calders, Nele Dexters, and Bart Goethals. Mining Frequent Items in a Stream Using Flexible Windows. In: ECML/PKDD-2006 International Workshop on Knowledge Discovery from Data Streams (IWKDDS) (2006)
  - Andy Zaidman, Toon Calders, Serge Demeyer, and Jan Paredaens. Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process. In: CSMR: pp. 134-142 (2005)
  - Toon Calders and Bart Goethals. Quick Inclusion-Exclusion. In: KDID: pp. 86-103 (2005)
  - Toon Calders and Bart Goethals. Depth-First Non-Derivable Itemset Mining. In: SDM (2005)
  - Andy Zaidman, Toon Calders, Serge Demeyer, and Jan Paredaens. Selective Introduction of Aspects for Program Comprehension. In: WCRE Workshop on Aspect Reverse Engineering (WARE) (2004)
  - Nele Dexters and Toon Calders. Theoretical Bounds on the Size of Condensed Representations. In: KDID: pp. 46-65 (2004)
  - Toon Calders. Deducing Bounds on the Support of Itemsets. In: Database Support for Data Mining Applications: pp. 214-233 Springer (2004)
  - Toon Calders. Computational Complexity of Itemset Frequency Satisfiability. In: PODS: pp. 143-154 (2004)
  - Toon Calders and Bart Goethals. Minimal k-Free Representations of Frequent Sets. In: PKDD: pp. 71-82 (2003)
  - Toon Calders and Bart Goethals. Mining All Non-derivable Frequent Itemsets. In: PKDD: pp. 74-85 (2002)
  - Toon Calders. Deducing Bounds on the Frequency of Itemsets. In: EDBT Workshop DTDM Database Techniques in Data Mining (2002)
  - Toon Calders and Jef Wijsen. On Monotone Data Mining Languages. In: DBPL: pp. 119-132 (2001)
  - Toon Calders and Jan Paredaens. Axiomatization of Frequent Sets. In: ICDT: pp. 204-218 (2001)
  - Toon Calders and Jan Paredaens. Mining Frequent Binary Expressions. In: DaWaK: pp. 399-408 (2000)
  - Jef Wijsen, Raymond T. Ng, and Toon Calders. Discovering Roll-Up Dependencies. In: KDD: pp. 213-222 (1999)

===== Technical Reports and Theses =====
  - Faisal Kamiran, Toon Calders, and Mykola Pechenizkiy. Discrimination Aware Decision Tree Learning. Eindhoven University of Technology, Dept. Math. and Computer Science(CS-Report 10-13) (2010)
  - An De Sitter, Toon Calders, and Walter Daelemans. A Formal Framework for Evaluation of Information Extraction. University of Antwerp, Dept. Math. and Computer Science(2004-04) (2004)
  - Toon Calders. Axiomatization and Deduction Rules for the Frequency of Itemsets. PhD thesis University of Antwerp, Dept. Math. and Computer Science (2003)
  - Toon Calders and Jef Wijsen. On Monotone Data Mining Languages. University of Antwerp, Dept. Math. and Computer Science(2001-08) (2001)
  - Toon Calders and Jan Paredaens. Mining Binary Expressions: Applications and Algorithms. University of Antwerp, Dept. Math. and Computer Science(2000-08) (2000)
  - Toon Calders and Jan Paredaens. A Theoretical Framework for Reasoning about Frequent Itemsets. University of Antwerp, Dept. Math. and Computer Science(2000-06) (2000)
  - Toon Calders. Het ontdekken van roll-up afhankelijkheden in databases. Master thesis University of Antwerp, Dept. Math. and Computer Science (1999)