Toon Calders

发表

Risk detection and prediction from indoor tracking data

Tanvir Ahmed, Toon Calders, Hua Lu, 2017, SIGSPACIAL.

On Monotone Data Mining Languages

Toon Calders, Jef Wijsen, 2001, DBPL.

InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance

Toon Calders, Hendrik Blockeel, Joost N. Kok, 2010, IDA.

Anti-monotonic Overlap-Graph Support Measures

Toon Calders, Jan Ramon, Dries Van Dyck, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Introducing Positive Discrimination in Predictive Models

Toon Calders, Sicco Verwer, 2013, Discrimination and Privacy in the Information Society.

Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011

Cristina Conati, Toon Calders, Mykola Pechenizkiy, 2011, Educational Data Mining.

Proceedings of the International Workshop on Applying Data Mining in e-Learning (ADML-2007)

Toon Calders, Mykola Pechenizkiy, C. Romero, 2007 .

A formal framework for evaluation of information extraction

Walter Daelemans, Toon Calders, A. De Sitter, 2004 .

Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07)

Toon Calders, Mykola Pechenizkiy, Joseph E. Beck, 2007, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007).

Who Are My Ancestors? Retrieving Family Relationships from Historical Texts

Toon Calders, Julia Efremova, Alejandro Montes García, 2015, RuSSIR.

Detecting and Explaining Drifts in Yearly Grant Applications pdf

Toon Calders, Stephen Pauwels, 2018, ArXiv.

H-WorD: Supporting Job Scheduling in Hadoop with Workload-Driven Data Redistribution

Toon Calders, Alberto Abelló, Oscar Romero, 2016, ADBIS.

Chapter 7: Association Rule Mining in Learning Management Systems

Toon Calders, Enrique García, Sab Ventura, 2010 .

Mining Compressing Sequential Patterns

Toon Calders, Dmitriy Fradkin, Fabian Mörchen, 2014, Stat. Anal. Data Min..

Quick Inclusion-Exclusion

Toon Calders, Bart Goethals, Bart Goethals, 2005, KDID.

Cost Model for Pregel on GraphX

Toon Calders, Alberto Abelló, Rohit Kumar, 2017, ADBIS.

HiDER: Query-Driven Entity Resolution for Historical Data

Toon Calders, Gerhard Weiss, Bijan Ranjbar Sahraei, 2015, ECML/PKDD.

Classification Without Discrimination

Toon Calders, Faisal Kamiran, F. Kamiran, 2009 .

Mining Compressing Sequential Patterns

Toon Calders, Dmitriy Fradkin, Fabian Mörchen, 2012, Stat. Anal. Data Min..

Theoretical Bounds on the Size of Condensed Representations

Toon Calders, Nele Dexters, 2004, KDID.

Searching for dependencies at multiple abstraction levels

Toon Calders, Jef Wijsen, Raymond T. Ng, 2002, TODS.

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II

Toon Calders, Floriana Esposito, Rosa Meo, 2014 .

Effects of Evolutionary Linguistics in Text Classification

Toon Calders, Julia Efremova, Jianpeng Zhang, 2015, SLSP.

Applying Webmining techniques to execution traces to support the program comprehension process

Toon Calders, Andy Zaidman, Serge Demeyer, 2005, Ninth European Conference on Software Maintenance and Reengineering.

PROMETHEE is Not Quadratic: An O(qn log(n)) Algorithm pdf

Toon Calders, Dimitri Van Assche, T. Calders, 2016, ArXiv.

Effective and efficient location influence mining in location-based social networks

Toon Calders, Torben Bach Pedersen, Muhammad Aamir Saleem, 2018, Knowledge and Information Systems.

Expressive power of an algebra for data mining

Laks V. S. Lakshmanan, Toon Calders, Raymond T. Ng, 2006, TODS.

A Survey on Condensed Representations for Frequent Sets

Jean-François Boulicaut, Christophe Rigotti, Toon Calders, 2004, Constraint-Based Mining and Inductive Databases.

Online Discovery of Top-k Similar Motifs in Time Series Data

Toon Calders, Hoang Thanh Lam, Ninh Pham, 2011, SDM.

Vers une mesure de similarité pour les séquences complexes

Chedy Raïssi, Toon Calders, Amedeo Napoli, 2013, EGC.

Guest Editors’ introduction: special issue of the ECML/PKDD 2014 journal track

Eyke Hüllermeier, Toon Calders, Floriana Esposito, 2014, Machine Learning.

Machine Learning and Knowledge Discovery in Databases

Eyke Hüllermeier, Toon Calders, Floriana Esposito, 2014, Lecture Notes in Computer Science.

Itemset frequency satisfiability: Complexity and axiomatization

Toon Calders, 2008, Theor. Comput. Sci..

Predicting Visitors Using Location-Based Social Networks

Toon Calders, Torben Bach Pedersen, Peter Dolog, 2018, 2018 19th IEEE International Conference on Mobile Data Management (MDM).

Drawbacks and solutions of applying association rule mining in learning management systems

Toon Calders, Sebastián Ventura, Enrique García, 2008 .

Association rule mining in learning management systems: drawbacks and solutions

Toon Calders, Enrique García, Sab Ventura, 2007 .

Mining Frequent Itemsets in a Stream

Toon Calders, Bart Goethals, Nele Dexters, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Mining Views: Database Views for Data Mining

Toon Calders, Bart Goethals, Hendrik Blockeel, 2008, 2008 IEEE 24th International Conference on Data Engineering.

Introduction to the special section on educational data mining

Toon Calders, Mykola Pechenizkiy, Mykola Pechenizkiy, 2012, SKDD.

Discrimination Aware Decision Tree Learning

Toon Calders, Mykola Pechenizkiy, Faisal Kamiran, 2010, 2010 IEEE International Conference on Data Mining.

Predicting Current User Intent with Contextual Markov Models

Toon Calders, Mykola Pechenizkiy, Hoang Thanh Lam, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Activity-Driven Influence Maximization in Social Networks

Toon Calders, Torben Bach Pedersen, Xike Xie, 2017, ECML/PKDD.

The complexity of satisfying constraints on databases of transactions

Toon Calders, 2007, Acta Informatica.

Machine Learning and Knowledge Discovery in Databases

Eyke Hüllermeier, Toon Calders, Yuzuru Tanaka, 2014, Lecture Notes in Computer Science.

DS-Prox: Dataset Proximity Mining for Governing the Data Lake

Toon Calders, Alberto Abelló, Oscar Romero, 2017, SISAP.

Introduction to Pattern Mining

Toon Calders, T. Calders, 2013, eBISS.

Axiomatization of Frequent Sets

Toon Calders, Jan Paredaens, J. Paredaens, 2001, ICDT.

Mining rank-correlated sets of numerical attributes

Szymon Jaroszewicz, Toon Calders, Bart Goethals, 2006, KDD '06.

Towards distributed convoy pattern mining

Toon Calders, Thomas Devogele, Faisal Orakzai, 2015, SIGSPATIAL/GIS.

Workshop on Educational Data Mining (EDM) in conjunction with ICALT07

Toon Calders, Mykola Pechenizkiy, Joseph Thaddeus Beck, 2007 .

Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures

Toon Calders, Indre Zliobaite, I. Žliobaitė, 2013, Discrimination and Privacy in the Information Society.

Mining conjunctive sequential patterns

Chedy Raïssi, Toon Calders, Pascal Poncelet, 2008, Data Mining and Knowledge Discovery.

Techniques for Discrimination-Free Predictive Models

Toon Calders, Mykola Pechenizkiy, Faisal Kamiran, 2013, Discrimination and Privacy in the Information Society.

Location Influence in Location-based Social Networks

Toon Calders, Torben Bach Pedersen, Xike Xie, 2017, WSDM.

Distributed Convoy Pattern Mining

Toon Calders, Torben Bach Pedersen, Faisal Orakzai, 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM).

Three Big Data Tools for a Data Scientist's Toolbox

Toon Calders, T. Calders, 2017, eBISS.

Data preprocessing techniques for classification without discrimination

Toon Calders, Faisal Kamiran, F. Kamiran, 2011, Knowledge and Information Systems.

Mining Conjunctive Sequential Patterns

Chedy Raïssi, Toon Calders, Pascal Poncelet, 2008, ECML/PKDD.

What Is Data Mining and How Does It Work?

Toon Calders, Bart Custers, T. Calders, 2013, Discrimination and Privacy in the Information Society.

Depth-First Non-Derivable Itemset Mining

Toon Calders, Bart Goethals, Bart Goethals, 2005, SDM.

Mining itemsets in the presence of missing values

Toon Calders, Bart Goethals, Michael Mampaey, 2007, SAC '07.

Selective Introduction of Aspects for Program Comprehension

Toon Calders, Andy Zaidman, Serge Demeyer, 2004 .

An anomaly detection technique for business processes based on extended dynamic bayesian networks

Toon Calders, Stephen Pauwels, T. Calders, 2019, SAC.

Minimal k-Free Representations of Frequent Sets

Toon Calders, Bart Goethals, 2003, PKDD.

Fairness-Aware Data Mining

Toon Calders, 2016, EGC.

Using minimum description length for process mining

Toon Calders, Mykola Pechenizkiy, Christian W. Günther, 2009, SAC '09.

Multi-Source Entity Resolution for Genealogical Data

Toon Calders, Gerhard Weiss, Bijan Ranjbar Sahraei, 2015, Population Reconstruction.

A novel hierarchical-based framework for upper bound computation of graph edit distance

Toon Calders, Karam Gouda, Mona Arafa, 2018, Pattern Recognit..

Proceedings of the International Workshop on Applying Data Mining in e-Learning (ADML-2007, Sissi, Crete, Greece, September 18, 2007)

Toon Calders, Mykola Pechenizkiy, C. Romero, 2008 .

Mining Frequent Binary Expressions

Toon Calders, Jan Paredaens, 2000, DaWaK.

Finding simple temporal cycles in an interaction network

Toon Calders, Rohit Kumar, 2017, TD-LSG@PKDD/ECML.

k/2-hop: Fast Mining of Convoy Patterns With Effective Pruning

Toon Calders, Torben Bach Pedersen, Faisal Orakzai, 2019, Proc. VLDB Endow..

Efficient Pattern Mining of Uncertain Data with Sampling

Toon Calders, Bart Goethals, Calin Garboni, 2010, PAKDD.

Design and Implementation of a Business Intelligence system for Website Visitors Statistics

Toon Calders, Daan Wissing, Thijs Putman, 2012 .

Deducing Bounds on the Frequency of Itemsets

Toon Calders, T. Calders, 2002 .

Chedy Raïssi, Toon Calders, Amedeo Napoli, 2014, Data Mining and Knowledge Discovery.

Introduction to the special issue on discovery science

Michelangelo Ceci, Toon Calders, 2018, Machine Learning.

Mining top-k frequent items in a data stream with flexible sliding windows

Toon Calders, Hoang Thanh Lam, T. Calders, 2010, KDD.

Online Risk Prediction for Indoor Moving Objects

Tanvir Ahmed, Toon Calders, Hua Lu, 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM).

Discrimination and Privacy in the Information Society - Data Mining and Profiling in Large Databases

Toon Calders, Bart Schermer, Tal Z. Zarsky, 2012, Discrimination and Privacy in the Information Society.

BFST_ED: A Novel Upper Bound Computation Framework for the Graph Edit Distance

Toon Calders, Karam Gouda, Mona Arafa, 2016, SISAP.

Towards Information Profiling: Data Lake Content Metadata Management

Toon Calders, Alberto Abelló, Oscar Romero, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Classifying without discriminating

Toon Calders, Faisal Kamiran, F. Kamiran, 2009, 2009 2nd International Conference on Computer, Control and Communication.

A new support measure for items in streams

Toon Calders, Bart Goethals, Nele Dexters, 2007, Monde des Util. Anal. Données.

Recent Developments in Pattern Mining

Toon Calders, 2012, ALT.

A Hybrid Disambiguation Measure for Inaccurate Cultural Heritage Data

Toon Calders, Bijan Ranjbar Sahraei, Julia Efremova, 2014, LaTeCH@EACL.

Information Propagation in Interaction Networks

Toon Calders, Rohit Kumar, T. Calders, 2017, EDBT.

Axiomatization of frequent itemsets

Toon Calders, Jan Paredaens, J. Paredaens, 2003, Theor. Comput. Sci..

Efficient AUC Optimization for Classification

Szymon Jaroszewicz, Toon Calders, S. Jaroszewicz, 2007, PKDD.

The Way Forward

Toon Calders, Tal Z. Zarsky, Bart W. Schermer, 2013, Discrimination and Privacy in the Information Society.

Mining Risk Factors in RFID Baggage Tracking Data

Tanvir Ahmed, Toon Calders, Torben Bach Pedersen, 2015, 2015 16th IEEE International Conference on Mobile Data Management.

All normalized anti-monotonic overlap graph measures are bounded

Toon Calders, Jan Ramon, Dries Van Dyck, 2011, Data Mining and Knowledge Discovery.

Classification of Historical Notary Acts with Noisy Labels

Toon Calders, Julia Efremova, Alejandro Montes García, 2015, ECIR.

Integrating Pattern Mining in Relational Databases

Toon Calders, Bart Goethals, Adriana Prado, 2006, PKDD.

Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track

Eyke Hüllermeier, Toon Calders, Floriana Esposito, 2014, Data Mining and Knowledge Discovery.

Three naive Bayes approaches for discrimination-free classification

Toon Calders, Sicco Verwer, T. Calders, 2010, Data Mining and Knowledge Discovery.

Mining All Non-derivable Frequent Itemsets

Toon Calders, Bart Goethals, Bart Goethals, 2002, PKDD.

Deducing Bounds on the Support of Itemsets

Toon Calders, T. Calders, 2004, Database Support for Data Mining Applications.

Discovering roll-up dependencies

Toon Calders, Jef Wijsen, Raymond T. Ng, 1999, KDD '99.

Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study

Toon Calders, Mykola Pechenizkiy, Paul De Bra, 2008, EDM.

Approximation of Frequentness Probability of Itemsets in Uncertain Data

Toon Calders, Bart Goethals, Calin Garboni, 2010, 2010 IEEE International Conference on Data Mining.

Non-derivable itemset mining

Toon Calders, Bart Goethals, Bart Goethals, 2007, Data Mining and Knowledge Discovery.

Discovering temporal hidden contexts in web sessions for user trail prediction

Toon Calders, Mykola Pechenizkiy, Hoang Thanh Lam, 2013, WWW.

Building Classifiers with Independency Constraints

Toon Calders, Mykola Pechenizkiy, Faisal Kamiran, 2009, 2009 IEEE International Conference on Data Mining Workshops.

2SCENT: An Efficient Algorithm to Enumerate All Simple Temporal Cycles

Toon Calders, Rohit Kumar, T. Calders, 2018, Proc. VLDB Endow..

Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Eindhoven, the Netherlands, July 6-8, 2011).

Cristina Conati, Toon Calders, Mykola Pechenizkiy, 2011, EDM 2011.

Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs pdf

Toon Calders, Stephen Pauwels, T. Calders, 2018, ArXiv.

Handling Conditional Discrimination

Toon Calders, Indre Zliobaite, Faisal Kamiran, 2011, 2011 IEEE 11th International Conference on Data Mining.

Computational complexity of itemset frequency satisfiability

Toon Calders, 2004, PODS '04.

Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks

Toon Calders, Aristides Gionis, Rohit Kumar, 2015, ECML/PKDD.

IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks

Toon Calders, Torben Bach Pedersen, Xike Xie, 2017, CIKM.

Analyzing workflows implied by instance-dependent access rules

Toon Calders, Jan Hidders, Stijn Dekeyser, 2006, PODS '06.

Proceedings of the 21st Benelux conference on Artificial Intelligence

Toon Calders, Mykola Pechenizkiy, Karl Tuyls, 2009 .

Recent Developments in Pattern Mining

Toon Calders, 2012, Discovery Science.

Mining frequent items in a stream using flexible windows

Toon Calders, Bart Goethals, Nele Dexters, 2008, Intell. Data Anal..

Controlling Attribute Effect in Linear Regression

Toon Calders, Xiangliang Zhang, Asim Karim, 2013, 2013 IEEE 13th International Conference on Data Mining.

Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 8724

Eyke Hüllermeier, Toon Calders, Floriana Esposito, 2014 .

Zips: mining compressing sequential patterns in streams

Toon Calders, Jie Yang, Dmitriy Fradkin, 2013, IDEA@KDD.

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models pdf

Toon Calders, Pieter Delobelle, Bettina Berendt, 2021, ArXiv.

Roman Urdu toxic comment classification

Toon Calders, Asim Karim, Faisal Kamiran, 2021, Language Resources and Evaluation.

Text Style Transfer for Bias Mitigation using Masked Language Modeling

Toon Calders, Ewoenam Kwaku Tokpo, T. Calders, 2022, NAACL.

A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis

Toon Calders, Kris Laukens, Lennert Verboven, 2021, BMC Medical Informatics and Decision Making.

Finding Geo-Social Cohorts in Location-Based Social Networks

Toon Calders, Torben Bach Pedersen, Muhammad Aamir Saleem, 2021, APWeb/WAIM.

Distributed mining of convoys in large scale datasets

Toon Calders, Torben Bach Pedersen, Faisal Orakzai, 2021, GeoInformatica.

International Workshop on Applying Data Mining in e-Learning ( ADML ’ 07 ) as part of the Second European Conference on Technology Enhanced Learning ( EC-TEL 07 )

Toon Calders, Mykola Pechenizkiy, Cristóbal Romero, 2007 .

Towards population reconstruction : extraction of family relationships from historical documents

Toon Calders, Jianpeng Zhang, T. Calders, 2015, KDD 2015.

A Baseline Method for Genealogical Entity Resolution

Toon Calders, Frans A. Oliehoek, Karl Tuyls, 2014 .

Association rule mining in learning management systems

Toon Calders, Sebastián Ventura, Cristóbal Romero, 2011 .

Minimal k-free representations

Toon Calders, Bart Goethals, Bart Goethals, 2003 .