Siegfried Nijssen

According to our database, Siegfried Nijssen authored at least 115 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Impact of Weather Factors on Migration Intention Using Machine Learning Algorithms.

John O. R. Aoga, Juhee Bae, Stefanija Veljanoska, Siegfried Nijssen, Pierre Schaus

Oper. Res. Forum, March, 2024

Interpretable Quantile Regression by Optimal Decision Trees.

Valentin Lemaire, Gaël Aglin, Siegfried Nijssen

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Efficient Lookahead Decision Trees.

Harold Silvère Kiossou, Pierre Schaus, Siegfried Nijssen, Gaël Aglin

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

Decision trees: from efficient prediction to responsible AI.

Hendrik Blockeel, Laurens Devos, Benoît Frénay, Géraldin Nanfack, Siegfried Nijssen

Frontiers Artif. Intell., February, 2023

Extracting Unit Tests from Patterns Mined in Student Code to Provide Improved Feedback in Autograders.

Julien Liénard, Kim Mens, Siegfried Nijssen

Proceedings of the 15th Seminar on Advanced Techniques & Tools for Software Evolution, University of Salerno, Computer Science Department, 2023

RL-Net: Interpretable Rule Learning with Neural Networks.

Lucile Dierckx, Rosana Veroneze, Siegfried Nijssen

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Partitioning a Map into Homogeneous Contiguous Regions: A Branch-And-Bound Approach Using Decision Diagrams (Short Paper).

Nicolas Golenvaux, Xavier Gillard, Siegfried Nijssen, Pierre Schaus

Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

Probabilistic Inference by Projected Weighted Model Counting on Horn Clauses.

Alexandre Dubray, Pierre Schaus, Siegfried Nijssen

Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

2022

Exact stochastic constraint optimisation with applications in network analysis.

Anna L. D. Latour, Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, Siegfried Nijssen

Artif. Intell., 2022

Time Constrained DL8.5 Using Limited Discrepancy Search.

Harold Silvère Kiossou, Pierre Schaus, Siegfried Nijssen, Vinasétan Ratheil Houndji

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Learning Optimal Decision Trees Under Memory Constraints.

Gaël Aglin, Siegfried Nijssen, Pierre Schaus

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

From Inductive Databases to DL8.5 (short paper).

Siegfried Nijssen, Pierre Schaus

Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022), 2022

Detection and Multi-label Classification of Bats.

Lucile Dierckx, Mélanie Beauvois, Siegfried Nijssen

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Optimal Decoding of Hidden Markov Models with Consistency Constraints.

Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Generic Constraint-based Block Modeling using Constraint Programming.

Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus

J. Artif. Intell. Res., 2021

The good, the bad, and the ugly: mining for patterns in student source code.

Kim Mens, Siegfried Nijssen, Hoang-Son Pham

Proceedings of the EASEAI 2021: Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence, 2021

Iterated Matrix Reordering.

Gauthier Van Vracem, Siegfried Nijssen

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

A Seriation Based Framework to Visualize Multiple Aspects of Road Transport from GPS Trajectories.

Alexandre Dubray, Siegfried Nijssen, Isabelle Thomas, Pierre Schaus

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Assessing Optimal Forests of Decision Trees.

Gaël Aglin, Siegfried Nijssen, Pierre Schaus

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Uni- and multivariate probability density models for numeric subgroup discovery.

Marvin Meeng, Harm de Vries, Peter A. Flach, Siegfried Nijssen, Arno J. Knobbe

Intell. Data Anal., 2020

Using an interpretable Machine Learning approach to study the drivers of International Migration.

Harold Silvère Kiossou, Yannik Schenk, Frédéric Docquier, Vinasétan Ratheil Houndji, Siegfried Nijssen, Pierre Schaus

CoRR, 2020

Learning optimal decision trees using constraint programming.

Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus

Constraints An Int. J., 2020

Learning Optimal Decision Trees using Constraint Programming (Extended Abstract).

Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PyDL8.5: a Library for Learning Optimal Decision Trees.

Gaël Aglin, Siegfried Nijssen, Pierre Schaus

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Mining Constrained Regions of Interest: An Optimization Approach.

Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus

Proceedings of the Discovery Science - 23rd International Conference, 2020

Constraint Programming for an Efficient and Flexible Block Modeling Solver.

Alex Lucía Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Optimal Decision Trees Using Caching Branch-and-Bound Search.

Gaël Aglin, Siegfried Nijssen, Pierre Schaus

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns.

Dario Di Nucci, Hoang-Son Pham, Johan Fabry, Coen De Roover, Kim Mens, Tim Molderez, Siegfried Nijssen, Vadim Zaytsev

Proceedings of the Seminar Series on Advanced Techniques & Tools for Software Evolution (SATTOSE 2019), 2019

Mining Patterns in Source Code Using Tree Mining Algorithms.

Hoang-Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Molderez, Coen De Roover, Johan Fabry, Vadim Zaytsev

Proceedings of the Discovery Science - 22nd International Conference, 2019

Modeling Pattern Set Mining Using Boolean Circuits.

John O. R. Aoga, Siegfried Nijssen, Pierre Schaus

Proceedings of the Principles and Practice of Constraint Programming, 2019

Stochastic Constraint Propagation for Mining Probabilistic Networks.

Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams.

Anna L. D. Latour, Behrouz Babaki, Siegfried Nijssen

CoRR, 2018

ConvoMap: Using Convolution to Order Boolean Data.

Thomas Bollen, Guillaume Leurquin, Siegfried Nijssen

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Finding Probabilistic Rule Lists using the Minimum Description Length Principle.

John O. R. Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Tree Mining.

Siegfried Nijssen

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Constraint-Based Mining.

Siegfried Nijssen

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Semiring Rank Matrix Factorization.

Thanh Le Van, Siegfried Nijssen, Matthijs van Leeuwen, Luc De Raedt

IEEE Trans. Knowl. Data Eng., 2017

The Inductive Constraint Programming Loop.

Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis

IEEE Intell. Syst., 2017

MiningZinc: A declarative framework for constraint-based mining.

Tias Guns, Anton Dries, Siegfried Nijssen, Guido Tack, Luc De Raedt

Artif. Intell., 2017

Biclustering Multivariate Time Series.

Ricardo Cachucho, Siegfried Nijssen, Arno J. Knobbe

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving.

Anna L. D. Latour, Behrouz Babaki, Anton Dries, Angelika Kimmig, Guy Van den Broeck, Siegfried Nijssen

Proceedings of the Principles and Practice of Constraint Programming, 2017

Discovering interesting patterns in large graph cubes.

Florian Demesmaeker, Amine Ghrab, Siegfried Nijssen, Sabri Skhiri

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Partition-Based Clustering Using Constraint Optimization.

Valerio Grossi, Tias Guns, Anna Monreale, Mirco Nanni, Siegfried Nijssen

Proceedings of the Data Mining and Constraint Programming, 2016

Modeling in MiningZinc.

Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Négrevergne, Sergey Paramonov, Luc De Raedt

Proceedings of the Data Mining and Constraint Programming, 2016

The Inductive Constraint Programming Loop.

Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis

Proceedings of the Data Mining and Constraint Programming, 2016

Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.

Thanh Le Van, Matthijs van Leeuwen, Ana Carolina Fierro, Dries De Maeyer, Jimmy Van den Eynden, Lieven P. C. Verbeke, Luc De Raedt, Kathleen Marchal, Siegfried Nijssen

Bioinform., 2016

Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series.

Ricardo Cachucho, Kaihua Liu, Siegfried Nijssen, Arno J. Knobbe

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Making Sense of Illustrated Handwritten Archives.

Lambert Schomaker, Andreas Weber, Michiel Thijssen, Maarten Heerlien, Aske Plaat, Siegfried Nijssen, Fons J. Verbeek, Michael S. Lew, Eulalia Gasso Miracle, Katy Wolstencroft, Ernest Suyver, Bart Verheij, Marco A. Wiering, René Dekker, Joost N. Kok, Lissa Roberts, H. Jaap van den Herik

Proceedings of the 11th Annual International Conference of the Alliance of Digital Humanities Organizations, 2016

2015

Efficient algorithms for finding optimal binary features in numeric and nominal labeled data.

Michael Mampaey, Siegfried Nijssen, Ad Feelders, Rob M. Konijn, Arno J. Knobbe

Knowl. Inf. Syst., 2015

Rank Matrix Factorisation.

Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Constraint-Based Querying for Bayesian Network Exploration.

Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Finding Subspace Clusters Using Ranked Neighborhoods.

Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Interactive Learning of Pattern Rankings.

Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt

Int. J. Artif. Intell. Tools, 2014

Constraints, Optimization and Data (Dagstuhl Seminar 14411).

Luc De Raedt, Siegfried Nijssen, Barry O'Sullivan, Michèle Sebag

Dagstuhl Reports, 2014

Ranked Tiling.

Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Mining multivariate time series with mixed sampling rates.

Ricardo Cachucho, Marvin Meeng, Ugo Vespier, Siegfried Nijssen, Arno J. Knobbe

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Constrained Clustering Using Column Generation.

Behrouz Babaki, Tias Guns, Siegfried Nijssen

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

Supervised Pattern Mining and Applications to Classification.

Albrecht Zimmermann, Siegfried Nijssen

Proceedings of the Frequent Pattern Mining, 2014

Constraint-Based Pattern Mining.

Siegfried Nijssen, Albrecht Zimmermann

Proceedings of the Frequent Pattern Mining, 2014

2013

k-Pattern Set Mining under Constraints.

Tias Guns, Siegfried Nijssen, Luc De Raedt

IEEE Trans. Knowl. Data Eng., 2013

Guest editor's introduction: special issue of the ECML PKDD 2013 journal track.

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný

Data Min. Knowl. Discov., 2013

MiningZinc: A Modeling Language for Constraint-Based Mining.

Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt

Proceedings of the IJCAI 2013, 2013

Active Preference Learning for Ranking Patterns.

Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Dominance Programming for Itemset Mining.

Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

The MiningZinc Framework for Constraint-Based Itemset Mining.

Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Mining characteristic multi-scale motifs in sensor-based time series.

Ugo Vespier, Siegfried Nijssen, Arno J. Knobbe

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Formalizing Hierarchical Clustering as Integer Linear Programming.

Sean Gilpin, Siegfried Nijssen, Ian N. Davidson

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

BiQL: A Query Language for Analyzing Information Networks.

Anton Dries, Siegfried Nijssen, Luc De Raedt

Proceedings of the Bisociative Knowledge Discovery, 2012

k-Optimal: a novel approximate inference algorithm for ProbLog.

Joris Renkens, Guy Van den Broeck, Siegfried Nijssen

Mach. Learn., 2012

A Revised Publication Model for ECML PKDD

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný

CoRR, 2012

Mining Patterns in Networks using Homomorphism.

Anton Dries, Siegfried Nijssen

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

MDL-Based Analysis of Time Series at Multiple Time-Scales.

Ugo Vespier, Arno J. Knobbe, Siegfried Nijssen, Joaquin Vanschoren

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Mining Local Staircase Patterns in Noisy Data.

Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data.

Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno J. Knobbe

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201).

Luc De Raedt, Siegfried Nijssen, Barry O'Sullivan, Pascal Van Hentenryck

Dagstuhl Reports, 2011

Pattern-Based Classification: A Unifying Perspective

Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann

CoRR, 2011

Itemset mining: A constraint programming perspective.

Tias Guns, Siegfried Nijssen, Luc De Raedt

Artif. Intell., 2011

Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework.

Tias Guns, Siegfried Nijssen, Luc De Raedt

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract).

Luc De Raedt, Siegfried Nijssen

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Constraint-Based Pattern Mining in Multi-relational Databases.

Siegfried Nijssen, Aída Jiménez, Tias Guns

Proceedings of the Data Mining Workshops (ICDMW), 2011

Declarative Heuristic Search for Pattern Set Mining.

Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Tree Mining.

Siegfried Nijssen

Proceedings of the Encyclopedia of Machine Learning, 2010

Constraint-Based Mining.

Siegfried Nijssen

Proceedings of the Encyclopedia of Machine Learning, 2010

Mining Predictive k-CNF Expressions.

Anton Dries, Luc De Raedt, Siegfried Nijssen

IEEE Trans. Knowl. Data Eng., 2010

Optimal constraint-based decision tree induction from itemset lattices.

Siegfried Nijssen, Élisa Fromont

Data Min. Knowl. Discov., 2010

Integrating Constraint Programming and Itemset Mining.

Siegfried Nijssen, Tias Guns

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Analyzing graph databases by aggregate queries.

Anton Dries, Siegfried Nijssen

Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Cis-regulatory module detection using constraint programming.

Tias Guns, Hong Sun, Kathleen Marchal, Siegfried Nijssen

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Constraint Programming for Data Mining and Machine Learning.

Luc De Raedt, Tias Guns, Siegfried Nijssen

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Inductive Queries for a Drug Designing Robot Scientist.

Ross D. King, Amanda C. Schierz, Amanda Clare, Jem J. Rowland, Andrew Sparkes, Siegfried Nijssen, Jan Ramon

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

From Local Patterns to Classification Models.

Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Generalizing Itemset Mining in a Constraint Programming Setting.

Jérémy Besson, Jean-François Boulicaut, Tias Guns, Siegfried Nijssen

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

Polynomial-Delay Enumeration of Monotonic Graph Classes.

Jan Ramon, Siegfried Nijssen

J. Mach. Learn. Res., 2009

Data Mining, Interactive Semantic Structuring, and Collaboration: A Diversity-aware Method for Sense-making in Search.

Mathias Verbeke, Bettina Berendt, Siegfried Nijssen

Proceedings of First International Workshop on Living Web, 2009

Grammar Mining.

Siegfried Nijssen, Luc De Raedt

Proceedings of the SIAM International Conference on Data Mining, 2009

Correlated itemset mining in ROC space: a constraint programming approach.

Siegfried Nijssen, Tias Guns, Luc De Raedt

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

A query language for analyzing networks.

Anton Dries, Siegfried Nijssen, Luc De Raedt

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

What Is Frequent in a Single Graph?.

Björn Bringmann, Siegfried Nijssen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Constraint programming for itemset mining.

Luc De Raedt, Tias Guns, Siegfried Nijssen

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Bayes optimal classification for decision trees.

Siegfried Nijssen

Proceedings of the Machine Learning, 2008

2007

General Graph Refinement with Polynomial Delay.

Jan Ramon, Siegfried Nijssen

Proceedings of the Mining and Learning with Graphs, 2007

Mining optimal decision trees from itemset lattices.

Siegfried Nijssen, Élisa Fromont

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

Substructure Mining Using Elaborate Chemical Representation.

Jeroen Kazius, Siegfried Nijssen, Joost N. Kok, Thomas Bäck, Adriaan P. IJzerman

J. Chem. Inf. Model., 2006

Don't Be Afraid of Simpler Patterns.

Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

IQL: A Proposal for an Inductive Query Language.

Siegfried Nijssen, Luc De Raedt

Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

2005

Open source data mining: workshop report.

Bart Goethals, Siegfried Nijssen, Mohammed Javeed Zaki

SIGKDD Explor., 2005

Frequent Subtree Mining - An Overview.

Yun Chi, Richard R. Muntz, Siegfried Nijssen, Joost N. Kok

Fundam. Informaticae, 2005

Multi-class Correlated Pattern Mining.

Siegfried Nijssen, Joost N. Kok

Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

2004

The Gaston Tool for Frequent Subgraph Mining.

Siegfried Nijssen, Joost N. Kok

Proceedings of the 2nd International Workshop on Graph-Based Tools, 2004

Frequent graph mining and its application to molecular databases.

Siegfried Nijssen, Joost N. Kok

Proceedings of the IEEE International Conference on Systems, 2004

A quickstart in frequent structure mining can make a difference.

Siegfried Nijssen, Joost N. Kok

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Ideal Refinement of Datalog Clauses Using Primary Keys.

Siegfried Nijssen, Joost N. Kok

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

An analysis of the behavior of simplified evolutionary algorithms on trap functions.

Siegfried Nijssen, Thomas Bäck

IEEE Trans. Evol. Comput., 2003

Efficient Frequent Query Discovery in FARMER.

Siegfried Nijssen, Joost N. Kok

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

2001

Faster Association Rules for Multiple Relations.

Siegfried Nijssen, Joost N. Kok

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001