![]() | ![]() |
| 2012 | ||
|---|---|---|
| 48 | 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) | |
| 2011 | ||
| 47 | 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 | |
| 46 | Indre Zliobaite, Faisal Kamiran, Toon Calders: Handling Conditional Discrimination. ICDM 2011: 992-1001 | |
| 45 | Hoang Thanh Lam, Toon Calders, Ninh Pham: Online Discovery of Top-k Similar Motifs in Time Series Data. SDM 2011: 1004-1015 | |
| 44 | 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) | |
| 43 | Toon Calders, Mykola Pechenizkiy: Introduction to the special section on educational data mining. SIGKDD Explorations 13(2): 3-6 (2011) | |
| 2010 | ||
| 42 | Toon Calders, Calin Garboni, Bart Goethals: Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM 2010: 749-754 | |
| 41 | Faisal Kamiran, Toon Calders, Mykola Pechenizkiy: Discrimination Aware Decision Tree Learning. ICDM 2010: 869-874 | |
| 40 | 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 | |
| 39 | Hoang Thanh Lam, Toon Calders: Mining top-k frequent items in a data stream with flexible sliding windows. KDD 2010: 283-292 | |
| 38 | Toon Calders, Calin Garboni, Bart Goethals: Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) 2010: 480-487 | |
| 37 | Toon Calders, Sicco Verwer: Three naive Bayes approaches for discrimination-free classification. Data Min. Knowl. Discov. 21(2): 277-292 (2010) | |
| 2009 | ||
| 36 | Toon Calders, Faisal Kamiran, Mykola Pechenizkiy: Building Classifiers with Independency Constraints. ICDM Workshops 2009: 13-18 | |
| 35 | Toon Calders, Christian W. Günther, Mykola Pechenizkiy, Anne Rozinat: Using minimum description length for process mining. SAC 2009: 1451-1455 | |
| 2008 | ||
| 34 | Chedy Raïssi, Toon Calders, Pascal Poncelet: Mining Conjunctive Sequential Patterns. ECML/PKDD (1) 2008: 19 | |
| 33 | 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 | |
| 32 | Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado: Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611 | |
| 31 | Toon Calders, Jan Ramon, Dries Van Dyck: Anti-monotonic Overlap-Graph Support Measures. ICDM 2008: 73-82 | |
| 30 | 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 | |
| 29 | Chedy Raïssi, Toon Calders, Pascal Poncelet: Mining conjunctive sequential patterns. Data Min. Knowl. Discov. 17(1): 77-93 (2008) | |
| 28 | Toon Calders, Nele Dexters, Bart Goethals: Mining frequent items in a stream using flexible windows. Intell. Data Anal. 12(3): 293-304 (2008) | |
| 27 | Toon Calders: Itemset frequency satisfiability: Complexity and axiomatization. Theor. Comput. Sci. 394(1-2): 84-111 (2008) | |
| 2007 | ||
| 26 | Joseph E. Beck, Toon Calders, Mykola Pechenizkiy, Silvia Rita Viola: Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07). ICALT 2007: 933-934 | |
| 25 | Toon Calders, Nele Dexters, Bart Goethals: Mining Frequent Itemsets in a Stream. ICDM 2007: 83-92 | |
| 24 | Toon Calders, Szymon Jaroszewicz: Efficient AUC Optimization for Classification. PKDD 2007: 42-53 | |
| 23 | Toon Calders, Bart Goethals, Michael Mampaey: Mining itemsets in the presence of missing values. SAC 2007: 404-408 | |
| 22 | Toon Calders: The complexity of satisfying constraints on databases of transactions. Acta Inf. 44(7-8): 591-624 (2007) | |
| 21 | Toon Calders, Bart Goethals: Non-derivable itemset mining. Data Min. Knowl. Discov. 14(1): 171-206 (2007) | |
| 2006 | ||
| 20 | Toon Calders, Bart Goethals, Szymon Jaroszewicz: Mining rank-correlated sets of numerical attributes. KDD 2006: 96-105 | |
| 19 | Toon Calders, Bart Goethals, Adriana Prado: Integrating Pattern Mining in Relational Databases. PKDD 2006: 454-461 | |
| 18 | Toon Calders, Stijn Dekeyser, Jan Hidders, Jan Paredaens: Analyzing workflows implied by instance-dependent access rules. PODS 2006: 100-109 | |
| 17 | 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) | |
| 2005 | ||
| 16 | Andy Zaidman, Toon Calders, Serge Demeyer, Jan Paredaens: Applying Webmining Techniques to Execution Traces to Support the Program Comprehension Process. CSMR 2005: 134-142 | |
| 15 | Toon Calders, Bart Goethals: Quick Inclusion-Exclusion. KDID 2005: 86-103 | |
| 14 | Toon Calders, Bart Goethals: Depth-First Non-Derivable Itemset Mining. SDM 2005 | |
| 2004 | ||
| 13 | Toon Calders, Christophe Rigotti, Jean-François Boulicaut: A Survey on Condensed Representations for Frequent Sets. Constraint-Based Mining and Inductive Databases 2004: 64-80 | |
| 12 | Toon Calders: Deducing Bounds on the Support of Itemsets. Database Support for Data Mining Applications 2004: 214-233 | |
| 11 | Nele Dexters, Toon Calders: Theoretical Bounds on the Size of Condensed Representations. KDID 2004: 46-65 | |
| 10 | Toon Calders: Computational Complexity of Itemset Frequency Satisfiability. PODS 2004: 143-154 | |
| 2003 | ||
| 9 | Toon Calders, Bart Goethals: Minimal k-Free Representations of Frequent Sets. PKDD 2003: 71-82 | |
| 8 | Toon Calders, Jan Paredaens: Axiomatization of frequent itemsets. Theor. Comput. Sci. 290(1): 669-693 (2003) | |
| 2002 | ||
| 7 | Toon Calders, Bart Goethals: Mining All Non-derivable Frequent Itemsets. PKDD 2002: 74-85 | |
| 6 | Toon Calders, Raymond T. Ng, Jef Wijsen: Searching for dependencies at multiple abstraction levels. ACM Trans. Database Syst. 27(3): 229-260 (2002) | |
| 5 | Toon Calders, Bart Goethals: Mining All Non-Derivable Frequent Itemsets CoRR cs.DB/0206004: (2002) | |
| 2001 | ||
| 4 | Toon Calders, Jef Wijsen: On Monotone Data Mining Languages. DBPL 2001: 119-132 | |
| 3 | Toon Calders, Jan Paredaens: Axiomatization of Frequent Sets. ICDT 2001: 204-218 | |
| 2000 | ||
| 2 | Toon Calders, Jan Paredaens: Mining Frequent Binary Expressions. DaWaK 2000: 399-408 | |
| 1999 | ||
| 1 | Jef Wijsen, Raymond T. Ng, Toon Calders: Discovering Roll-Up Dependencies. KDD 1999: 213-222 | |
Colors in the list of coauthors
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