Toon Calders
Toon Calders
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Data preprocessing techniques for classification without discrimination
F Kamiran, T Calders
Knowledge and information systems 33 (1), 1-33, 2012
Three naive bayes approaches for discrimination-free classification
T Calders, S Verwer
Data mining and knowledge discovery 21, 277-292, 2010
Building classifiers with independency constraints
T Calders, F Kamiran, M Pechenizkiy
2009 IEEE international conference on data mining workshops, 13-18, 2009
Classifying without discriminating
F Kamiran, T Calders
Computer, Control and Communication, 2009. IC4 2009. 2nd International …, 2009
Discrimination aware decision tree learning
F Kamiran, T Calders, M Pechenizkiy
2010 IEEE international conference on data mining, 869-874, 2010
Mining all non-derivable frequent itemsets
T Calders, B Goethals
Principles of Data Mining and Knowledge Discovery: 6th European Conference …, 2002
Why unbiased computational processes can lead to discriminative decision procedures
T Calders, I Žliobaitė
Discrimination and Privacy in the Information Society: Data mining and …, 2013
Efficient AUC optimization for classification
T Calders, S Jaroszewicz
European conference on principles of data mining and knowledge discovery, 42-53, 2007
A survey on condensed representations for frequent sets
T Calders, C Rigotti, JF Boulicaut
Constraint-Based Mining and Inductive Databases: European Workshop on …, 2006
Non-derivable itemset mining
T Calders, B Goethals
Data Mining and Knowledge Discovery 14, 171-206, 2007
Classification with no discrimination by preferential sampling
F Kamiran, T Calders
Proc. 19th Machine Learning Conf. Belgium and The Netherlands 1 (6), 2010
Handling conditional discrimination
I Žliobaite, F Kamiran, T Calders
2011 IEEE 11th international conference on data mining, 992-1001, 2011
Controlling attribute effect in linear regression
T Calders, A Karim, F Kamiran, W Ali, X Zhang
2013 IEEE 13th international conference on data mining, 71-80, 2013
Quantifying explainable discrimination and removing illegal discrimination in automated decision making
F Kamiran, I Žliobaitė, T Calders
Knowledge and information systems 35, 613-644, 2013
Mining compressing sequential patterns
HT Lam, F Mörchen, D Fradkin, T Calders
Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (1), 34-52, 2014
Mining frequent itemsets in a stream
T Calders, N Dexters, JJM Gillis, B Goethals
Information Systems 39, 233-255, 2014
Preface to ECML PKDD 2014: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
T Calders, F Esposito, E Hüllermeier, R Meo
Springer 8724 (1, 2, 3), 111-749, 2014
Introduction to the special section on educational data mining
T Calders, M Pechenizkiy
Acm Sigkdd Explorations Newsletter 13 (2), 3-6, 2012
Discrimination and privacy in the information society
BHM Custers, T Calders, BW Schermer, TZ Zarsky
Studies in applied philosophy, epistemology and rational ethics 1866, 2013
Drawbacks and solutions of applying association rule mining in learning management systems
E García, C Romero, S Ventura, T Calders
Proceedings of the international workshop on applying data mining in e …, 2007
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