Publications

2020

Frederic Don-de-dieu Aglin, Siegfried Nijssen, Pierre Schaus (2020): Learning Optimal Decision Trees Using Caching Branch-and-Bound Search. In: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence.

2019

John Aoga, Siegfried Nijssen, Pierre Schaus (2019): Modeling Pattern Set Mining using Boolean Circuits. In: Proceedings of the 25th International Conference on Principles and Practice of Constraint Programming, pages 621-638.

Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus (2019): Learning Optimal Decision Trees using Constraint Programming. In: Principles and Practice of Constraint Programming.

Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus (2019): Generic Constraint-based Block Modeling using Constraint Programming. In: Proceedings of the 25th International Conference on Principles and Practice of Constraint Programming, pages 656-673.

Hoang Son Pham, Siegfried Nijssen, Kim Mens (2019): Mining Patterns in Source Code Using Tree Mining Algorithms. In: Discovery Science, pages 471-480.

Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen (2019): Stochastic Constraint Propagation for Mining Probabilistic Networks. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, pages 1137-1145.

Daniël Fokkinga, Anna Louise D. Latour, Marie Anastacio, Siegfried Nijssen, Holger Hoos (2019): Programming a Stochastic Constraint Optimisation Algorithm, by Optimisation. In: Proceedings of the IJCAI Workshop on Data Science Meets Optimisation.

2018

John Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus (2018): Finding Probabilistic Rule Lists using the Minimum Description Length Principle. In: Discovery Science 21th International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings

Thomas Bollen, Guillaume Leurquin, Siegfried Nijssen (2018): ConvoMap: Using Convolution to Order Boolean Data. In: Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, Proceedings

Anna Latour, Behrouz Babaki, Siegfried Nijssen (2018): Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams. In: Eight International Workshop on Stochastical Relational AI, StarAI 2018

2017

Florian Demesmaeker, Amine Ghrab, Siegfried Nijssen, Sabri Skhiri (2017): Discovering interesting patterns in large graph cubes. In: Proceedings of the Fourth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining, in conjunction with the 2017 IEEE International Conference on Big Data (IEEE BigData 2017)

Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O’Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis (2017): The Inductive Constraint Programming Loop. In: IEEE Intelligent Systems (32), pages 44-52.

Tias Guns, Anton Dries, Siegfried Nijssen, Guido Tack, Luc De Raedt (2017): MiningZinc: A declarative framework for constraint-based mining. In: Artificial Intelligence (244), pages 6-29.

Thanh Le Van, Siegfried Nijssen, Matthijs van Leeuwen, Luc De Raedt (2017): Semiring Rank Matrix Factorization. In: IEEE Transactions on Knowledge & Data Engineering (29), pages 1737-1750.

Anna Latour, Behrouz Babaki, Anton Dries, Angelika Kimmig, Guy Van den Broeck, Siegfried Nijssen (2017): Combining stochastic constraint optimization and probabilistic programming: from knowledge compilation to constraint solving. In: Principles and Practice of Constraint Programming - 22nd International Conference, Proceedings.

Ricardo Cachucho, Siegfried Nijssen, Arno Knobbe (2017): Biclustering multivariate time series. In: Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, Proceedings.

2016

Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O’Sullivan, Dino Pedreschi (2016): Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach, Springer.

Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Negrevergne, Sergey Paramonov, Luc De Raedt (2016): Modeling in MiningZinc. In: Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science), Springer.

Valerio Grossi, Tias Guns, Anna Monreale, Mirco Nanni, Siegfried Nijssen (2016): Partition-Based Clustering Using Constraint Optimization. In: Data mining and constraint programming - Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science), Springer.

Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O’Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis (2016): The Inductive Constraint Programming Loop: Extended Abstract. In: Constraint programming and Data Mining - Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science), Springer.

Thanh Le Van, Matthijs van Leeuwen, Ana Carolina Fierro, Dries De Maeyer, Jimmy Van den Eynden, Lieven Verbeke, Luc De Raedt, Kathleen Marchal, Siegfried Nijssen (2016): Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. In: Bioinformatics (32), pages i445-i454.

Ricardo Cachucho, Kaihua Liu, Siegfried Nijssen, Arno Knobbe (2016): Bipeline: A web-based visualization tool for biclustering of multivariate time series. In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2014, Proceedings, Part III (Lecture Notes in Computer Science).

2015

Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals (2015): Finding subspace clusters using ranked neighborhoods. In: Proceedings of the 3rd International Workshop on High Dimensional Data Mining, Workshop at the 15th IEEE International Conference on Data Mining, ICDM 2015.

Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt (2015): Constraint-based querying for Bayesian network exploration. In: Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Proceedings (Lecture Notes in Computer Science).

Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt (2015): Rank matrix factorisation. In: Advances in Knowledge Discovery and Data Mining, 19th Pacific-Asia Conference, PAKDD 2015, Proceedings, Part I (Lecture Notes in Computer Science).

Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt (2015): Automatic solver chaining in MiningZinc. In: Proceedings of the 14th International Workshop on Constraint Modelling and Reformulation (ModRef).

2014

Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt (2014): Interactive learning of pattern rankings. In: International Journal on Artificial Intelligence Tools (23), pages 1460026.

Behrouz Babaki, Tias Guns, Siegfried Nijssen (2014): Constrained clustering using column generation. In: Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014 (Lecture Notes in Computer Science).

Ricardo Cachucho, Marvin Meeng, Ugo Vespier, Siegfried Nijssen, Arno Knobbe (2014): Mining multivariate time series with mixed sampling rates. In: UbiComp ‘14 Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing.

Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt (2014): Ranked tiling. In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2014, Proceedings, Part II (Lecture Notes in Computer Science).

Siegfried Nijssen, Albrecht Zimmermann (2014): Constraint-based pattern mining. In: Frequent pattern mining, Springer.

Albrecht Zimmermann, Siegfried Nijssen (2014): Supervised pattern mining and applications to classification. In: Frequent Pattern Mining, Springer.

Luc De Raedt, Siegfried Nijssen, Barry O’Sullivan, Michèle Sebag (2014): Constraints, optimization and data (Dagstuhl Seminar 14411).

2013

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný (2013): Guest editor’s introduction: special issue of the ECML PKDD 2013 journal track. In: Data Mining and Knowledge Discovery (27), pages 291-293.

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný (2013): Guest editor’s introduction: special issue of the ECML PKDD 2013 journal track. In: Machine Learning (93), pages 1-3.

Tias Guns, Siegfried Nijssen, Luc De Raedt (2013): k-Pattern set mining under constraints. In: IEEE Transactions on Knowledge & Data Engineering (25), pages 402-418.

Sean Gilpin, Siegfried Nijssen, Ian Davidson (2013): Formalizing hierarchical clustering as Integer Linear Programming. In: Proceedings of the 27th AAAI Conference on Artificial Intelligence.

Ugo Vespier, Siegfried Nijssen, Arno Knobbe (2013): Mining characteristic multi-scale motifs in sensor-based time series. In: CIKM ‘13 Proceedings of the 22nd ACM conference on Information and knowledge management.

Benjamin Negrevergne, Anton Dries, Tias Guns, Siegfried Nijssen (2013): Dominance programming for itemset mining. In: ICDM’13 Proceedings the 13th IEEE International Conference on Data Mining.

Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt (2013): The MiningZinc framework for constraint-based itemset mining. In: Demo track of the 13th IEEE International Conference on Data Mining, ICDM 2013.

Vladimir Dzyuba, Matthijs Van Leeuwen, Siegfried Nijssen, Luc De Raedt (2013): Active preference learning for ranking patterns. In: 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI).

Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt (2013): MiningZinc: A modeling language for constraint-based mining. In: IJCAI’13 Proceedings of the 23rd international joint conference on Artificial intelligence.

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezny (2013): Machine learning and knowledge discovery in databases, European Conference, ECML PKDD 2013, Proceedings, Part I, Springer.

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezny (2013): Machine learning and knowledge discovery in databases, European Conference, ECML PKDD 2013, Proceedings, Part II, Springer.

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezny (2013): Machine learning and knowledge discovery in databases, European Conference, ECML PKDD 2013, Proceedings, Part III, Springer.

Michael Mampaey, Siegfried Nijssen, Ad Feelders, Rob Konijn, Arno Knobbe (2013): Efficient algorithms for finding optimal binary features in numeric and nominal labeled data. In: Knowledge and Information Systems (42), pages 465-492.

2012

Joris Renkens, Guy Van den Broeck, Siegfried Nijssen (2012): k-Optimal: a novel approximate inference algorithm for ProbLog. In: Machine Learning (89), pages 215-231.

Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal (2012): Mining local staircase patterns in noisy data. In: Co-Clustering and Applications, Workshop at the 12th IEEE International Conference on Data Mining, ICDM 2012.

Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno Knobbe (2012): Efficient algorithms for finding richer subgroup descriptions in numeric and nominal data. In: ICDM’12 Proceedings the 12th IEEE International Conference on Data Mining.

Ugo Vespier, Arno Knobbe, Siegfried Nijssen, Joaquin Vanschoren (2012): MDL-based analysis of time series at multiple time-scales. In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2012, Proceedings, Part II (Lecture Notes in Computer Science).

Anton Dries, Siegfried Nijssen (2012): Mining patterns in networks using homomorphism. In: Proceedings of the SIAM International Conference on Data Mining, SDM 2012.

Anton Dries, Siegfried Nijssen, Luc De Raedt (2012): BiQL: A query language for analyzing information networks. In: Bisociative Knowledge Discovery - An Introduction to Concept, Algorithms, Tools, and Applications (Lecture Notes in Computer Science).

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezny (2012): A revised publication model for ECML PKDD.

Jilles Vreeken, Nikolaj Tatti, Bart Goethals, Anton Dries, Matthijs van Leeuwen, Siegfried Nijssen (2012): Proceedings of the ECML PKDD workshop on instant interactive data mining.

2011

Tias Guns, Siegfried Nijssen, Luc De Raedt (2011): Itemset mining: a constraint programming perspective. In: Artificial Intelligence (175), pages 1951-1983.

Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt (2011): Declarative heuristic search for pattern set mining. In: Declarative Pattern Mining, Workshop at the 11th IEEE International Conference on Data Mining, ICDM 2011.

Siegfried Nijssen, Aída Jiménez, Tias Guns (2011): Constraint-based pattern mining in multi-relational databases. In: Declarative Pattern Mining, Workshop at the 11th IEEE International Conference on Data Mining, ICDM 2011.

Joris Renkens, Guy Van den Broeck, Siegfried Nijssen (2011): k-Optimal: a novel approximate inference algorithm for ProbLog. In: Inductive Logic Programming - 21st International Conference, ILP 2011, Revised Selected Papers (Lecture Notes in Computer Science).

Tias Guns, Siegfried Nijssen, Luc De Raedt (2011): Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework. In: Advances in Knowledge Discovery and Data Mining, 15th Pacific-Asia Conference, PAKDD 2011, Proceedings, Part II (Lecture Notes in Computer Science).

Luc De Raedt, Siegfried Nijssen, Barry O’Sullivan, Pascal Van Hentenryck (2011): Constraint programming meets machine learning and data mining (Dagstuhl Seminar 11201).

Luc De Raedt, Siegfried Nijssen (2011): Machine learning and data mining: challenges and opportunities for constraint programming (tutorial).

2010

Siegfried Nijssen, Elisa Fromont (2010): Optimal constraint-based decision tree induction from itemset lattices. In: Data Mining and Knowledge Discovery (21), pages 9-51.

Anton Dries, Luc De Raedt, Siegfried Nijssen (2010): Mining predictive k-CNF expressions. In: IEEE Transactions on Knowledge & Data Engineering (22), pages 743-748.

Luc De Raedt, Tias Guns, Siegfried Nijssen (2010): Constraint programming for data mining and machine learning. In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010.

Tias Guns, Hong Sun, Kathleen Marchal, Siegfried Nijssen (2010): Cis-regulatory module detection using constraint programming. In: 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010, I E E E.

Anton Dries, Siegfried Nijssen (2010): Analyzing graph databases by aggregate queries. In: MLG’10 Proceedings of the 8th Workshop on Mining and Learning with Graphs.

Siegfried Nijssen, Tias Guns (2010): Integrating constraint programming and itemset mining. In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Proceedings (Lecture Notes in Computer Science).

Jérémy Besson, Jean-François Boulicaut, Tias Guns, Siegfried Nijssen (2010): Generalizing itemset mining in a constraint programming setting. In: Inductive Databases and Constraint-Based Data Mining.

Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann (2010): From local patterns to classification models. In: Inductive Databases and Constraint-Based Data Mining.

Ross D. King, Amanda C. Schierz, Amanda Clare, Jem J. Rowland, Andrew Sparkes, Siegfried Nijssen, Jan Ramon (2010): Inductive queries for a drug designing robot scientist. In: Inductive Databases and Constraint-Based Data Mining.

Siegfried Nijssen (2010): Constraint-based mining. In: Encyclopedia of Machine Learning.

Siegfried Nijssen (2010): Tree mining. In: Encyclopedia of Machine Learning.

2009

Siegfried Nijssen, Luc De Raedt (2009): Grammar mining. In: Proceedings of the SIAM International Conference on Data Mining, SDM 2009.

Siegfried Nijssen, Tias Guns, Luc De Raedt (2009): Correlated itemset mining in ROC space. In: KDD ‘09 Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining.

Anton Dries, Siegfried Nijssen, Luc De Raedt (2009): A query language for analyzing networks. In: CIKM ‘09 Proceedings of the 18th ACM conference on Information and knowledge management.

Jan Ramon, Siegfried Nijssen (2009): Polynomial-delay enumeration of monotonic graph classes. In: Journal of Machine Learning Research (10), pages 907-929.

Mathias Verbeke, Bettina Berendt, Siegfried Nijssen (2009): Data mining, interactive semantic structuring, and collaboration: a diversity-aware method for sense-making in search. In: Proceedings of the first international workshop on Living Web.

Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann (2009): Pattern-based classification: a unifying perspective. In: From Local Patterns to Global Models, 2nd workshop, LeGo 2009.

2008

Luc De Raedt, Tias Guns, Siegfried Nijssen (2008): Constraint programming for itemset mining. In: KDD ‘08 Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining.

Siegfried Nijssen (2008): Bayes optimal classification for decision trees. In: ICML ‘08 Proceedings of the 25th international conference on Machine learning.

Björn Bringmann, Siegfried Nijssen (2008): What is frequent in a single graph?. In: Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Proceedings (Lecture Notes in Computer Science).

Hendrik Blockeel, Siegfried Nijssen (2008): Induction of node label controlled graph grammar rules. In: MLG’08 Proceedings of the 6th Workshop on Mining and Learning with Graphs.

2007

Siegfried Nijssen, Luc De Raedt (2007): IQL: A proposal for an Inductive Query Language. In: Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers (Lecture Notes in Computer Science).

Jan Ramon, Siegfried Nijssen (2007): General graph refinement with polynomial delay. In: MLG’07 Proceedings of the 5th Workshop on Mining and Learning with Graphs.

Siegfried Nijssen, Elisa Fromont (2007): Mining optimal decision trees from itemset lattices. In: KDD ‘07 Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining.

2006

Siegfried Nijssen, Joost Kok (2006): Multi-class correlated pattern mining. In: Knowledge Discovery in Inductive Databases, 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers (Lecture Notes in Computer Science).

Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen (2006): Don’t Be Afraid of Simpler Patterns. In: Knowledge Discovery in Databases: PKDD 2006 (Lecture Notes in Computer Science).

Siegfried Nijssen (2006): Mining interpretable subgraphs. In: MLG’06 Proceedings of the 4th Workshop on Mining and Learning with Graphs.

Siegfried Nijssen, Joost Kok (2006): Frequent subgraph miners: runtimes don’t say everything. In: MLG’06 Proceedings of the 4th Workshop on Mining and Learning with Graphs.

Jeroen Kazius, Siegfried Nijssen, Joost Kok, Thomas Bäck, Adriaan P. IJzerman (2006): Substructure mining using elaborate chemical representation. In: Journal of Chemical Information and Modeling (46), pages 597-605.

2005

Bart Goethals, Siegfried Nijssen, Mohammed J. Zaki (2005): Open source data mining. In: SIGKDD Explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining (7), pages 143-144.

Yun Chi, Richard R. Muntz, Siegfried Nijssen, Joost Kok (2005): Frequent subtree mining - an overview. In: Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences (66), pages 161-198.

Siegfried Nijssen, Joost Kok (2005): The Gaston tool for frequent subgraph mining. In: Electronic Notes in Theoretical Computer Science (127), pages 77-87.

Bart Goethals, Siegfried Nijssen, Mohammed J. Zaki (2005): Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations.

Thorsten Meinl, Siegfried Nijssen, George Karypis (2005): MGTS 2005: Proceedings of the 3rd International Workshop on Mining Graphs, Trees and Sequences.

2004

Siegfried Nijssen, Joost Kok (2004): Ideal refinement of Datalog clauses using primary keys. In: ECAI’04 Proceedings of the 16th European Conference on Artificial Intelligence.

Siegfried Nijssen, Joost Kok (2004): A quickstart in frequent structure mining can make a difference. In: KDD’04 Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining.

Siegfried Nijssen, Joost Kok (2004): Frequent graph mining and its application to molecular databases. In: SMC’04 Proceedings of the IEEE International Conference on Systems, Man and Cybernetics.

2003

Siegfried Nijssen, Joost Kok (2003): Efficient frequent query discovery in FARMER. In: Knowledge Discovery in Databases: PKDD 2003 (Lecture Notes in Computer Science).

Siegfried Nijssen, Thomas Bäck (2003): An analysis of the behavior of simplified evolutionary algorithms on trap functions. In: IEEE Transactions on Evolutionary Computation (7), pages 11-22.

Siegfried Nijssen, Joost Kok (2003): Efficient discovery of frequent unordered trees. In: MGTS’03 Proceedings of the first international workshop on mining graphs, trees and sequences.

2001

Siegfried Nijssen, Joost Kok (2001): Faster association rules for multiple relations. In: IJCAI’01 Proceedings of the 17th international joint conference on Artificial intelligence.