Siegfried Nijssen

147 papers A* 18A 11B 16C 2Misc 1Journal 38Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	B	`ed.`	Advances in Intelligent Data Analysis XXIV - 24th International Symposium on Intelligent Data Analysis, IDA 2026, Leiden, The Netherlands, April 22-24, 2026, Proceedings IDA Mitra Baratchi, Siegfried Nijssen, Jan N. van Rijn
2026	J	`jnl`	Anytime Optimal Decision Tree Learning with Continuous Features. CoRR Harold Silvère Kiossou, Pierre Schaus, Siegfried Nijssen
2025	J	`jnl`	A Generic Complete Anytime Beam Search for Optimal Decision Tree. CoRR Harold Silvère Kiossou, Siegfried Nijssen, Pierre Schaus
2025	B	`conf`	Detection of Large Language Model Contamination with Tabular Data. IDA Benoît Ronval, Pierre Dupont, Siegfried Nijssen
2025	A*	`conf`	Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits. IJCAI Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen
2025	J	`jnl`	TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees. CoRR Emmanouil Panagiotou, Benoît Ronval, Arjun Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi
2025	J	`jnl`	TAGAL: Tabular Data Generation using Agentic LLM Methods. CoRR Benoît Ronval, Pierre Dupont, Siegfried Nijssen
2025	A*	`conf`	TabFairGDT: A Fast Fair Tabular Data Generator Using Autoregressive Decision Trees. ICDM Emmanouil Panagiotou, Benoît Ronval, Arjun Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi
2025	—	`conf`	The Pyttern Program Query Language. Programming Julien Liénard, Kim Mens, Siegfried Nijssen
2024	—	`conf`	An Efficient Structured Perceptron for NP-Hard Combinatorial Optimization Problems. CPAIOR (2) Bastián Véjar, Gaël Aglin, Ali Irfan Mahmutogullari, Siegfried Nijssen, Pierre Schaus, Tias Guns
2024	A	`conf`	Anytime Weighted Model Counting with Approximation Guarantees for Probabilistic Inference. CP Alexandre Dubray, Pierre Schaus, Siegfried Nijssen
2024	—	`conf`	Can Generative Ai-based Data Balancing Mitigate Unfairness Issues in Machine Learning? EWAF Benoît Ronval, Siegfried Nijssen, Ludwig Bothmann
2024	—	`conf`	Efficient Lookahead Decision Trees. IDA (2) Harold Silvère Kiossou, Pierre Schaus, Siegfried Nijssen, Gaël Aglin
2024	J	`jnl`	Impact of Weather Factors on Migration Intention Using Machine Learning Algorithms. Oper. Res. Forum John O. R. Aoga, Juhee Bae, Stefanija Veljanoska, Siegfried Nijssen, Pierre Schaus
2024	—	`conf`	Interpretable Quantile Regression by Optimal Decision Trees. IDA (2) Valentin Lemaire, Gaël Aglin, Siegfried Nijssen
2024	—	`conf`	MID: A New Strategy for Learning Optimal Decision Trees on Continuous Data. DS (LB) Antonio Dal Maso, Harold Silvère Kiossou, Siegfried Nijssen
2024	—	`conf`	Parameter Learning Using Approximate Model Counting. NeSy (2) Lucile Dierckx, Alexandre Dubray, Siegfried Nijssen
2024	—	`conf`	Pyttern: a Python-Based Program Query Language. BENEVOL Julien Liénard, Kim Mens, Siegfried Nijssen
2024	J	`jnl`	scCross: efficient search for rare subpopulations across multiple single-cell samples. Bioinform. Alexander Gerniers, Siegfried Nijssen, Pierre Dupont
2023	B	`ed.`	Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12-14, 2023, Proceedings IDA Bruno Crémilleux, Sibylle Hess, Siegfried Nijssen
2023	J	`jnl`	Decision trees: from efficient prediction to responsible AI. Frontiers Artif. Intell. Hendrik Blockeel, Laurens Devos, Benoît Frénay, Géraldin Nanfack, Siegfried Nijssen
2023	—	`conf`	Extracting Unit Tests from Patterns Mined in Student Code to Provide Improved Feedback in Autograders. SATToSE Julien Liénard, Kim Mens, Siegfried Nijssen
2023	A	`conf`	Partitioning a Map into Homogeneous Contiguous Regions: A Branch-And-Bound Approach Using Decision Diagrams (Short Paper). CP Nicolas Golenvaux, Xavier Gillard, Siegfried Nijssen, Pierre Schaus
2023	A	`conf`	Probabilistic Inference by Projected Weighted Model Counting on Horn Clauses. CP Alexandre Dubray, Pierre Schaus, Siegfried Nijssen
2023	C	`conf`	RL-Net: Interpretable Rule Learning with Neural Networks. NeSy Lucile Dierckx, Rosana Veroneze, Siegfried Nijssen
2023	—	`conf`	RL-Net: Interpretable Rule Learning with Neural Networks. PAKDD (1) Lucile Dierckx, Rosana Veroneze, Siegfried Nijssen
2022	B	`conf`	Detection and Multi-label Classification of Bats. IDA Lucile Dierckx, Mélanie Beauvois, Siegfried Nijssen
2022	J	`jnl`	Exact stochastic constraint optimisation with applications in network analysis. Artif. Intell. Anna L. D. Latour, Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, Siegfried Nijssen
2022	—	`conf`	From Inductive Databases to DL8.5 (short paper). KDID Siegfried Nijssen, Pierre Schaus
2022	—	`conf`	Learning Optimal Decision Trees Under Memory Constraints. ECML/PKDD (5) Gaël Aglin, Siegfried Nijssen, Pierre Schaus
2022	B	`conf`	Optimal Decoding of Hidden Markov Models with Consistency Constraints. DS Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus
2022	—	`conf`	Time Constrained DL8.5 Using Limited Discrepancy Search. ECML/PKDD (5) Harold Silvère Kiossou, Pierre Schaus, Siegfried Nijssen, Vinasétan Ratheil Houndji
2021	—	`conf`	A Seriation Based Framework to Visualize Multiple Aspects of Road Transport from GPS Trajectories. ITSC Alexandre Dubray, Siegfried Nijssen, Isabelle Thomas, Pierre Schaus
2021	B	`conf`	Assessing Optimal Forests of Decision Trees. ICTAI Gaël Aglin, Siegfried Nijssen, Pierre Schaus
2021	J	`jnl`	Generic Constraint-based Block Modeling using Constraint Programming. J. Artif. Intell. Res. Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus
2021	—	`conf`	Iterated Matrix Reordering. ECML/PKDD (3) Gauthier Van Vracem, Siegfried Nijssen
2021	—	`conf`	The good, the bad, and the ugly: mining for patterns in student source code. EASEAI@ESEC/SIGSOFT FSE Kim Mens, Siegfried Nijssen, Hoang-Son Pham
2020	A*	`conf`	Constraint Programming for an Efficient and Flexible Block Modeling Solver. AAAI Alex Lucía Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus
2020	J	`jnl`	Impact of weather factors on migration intention using machine learning algorithms. CoRR John O. R. Aoga, Juhee Bae, Stefanija Veljanoska, Siegfried Nijssen, Pierre Schaus
2020	A*	`conf`	Learning Optimal Decision Trees Using Caching Branch-and-Bound Search. AAAI Gaël Aglin, Siegfried Nijssen, Pierre Schaus
2020	A*	`conf`	Learning Optimal Decision Trees using Constraint Programming (Extended Abstract). IJCAI Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus
2020	J	`jnl`	Learning optimal decision trees using constraint programming. Constraints An Int. J. Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus
2020	B	`conf`	Mining Constrained Regions of Interest: An Optimization Approach. DS Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus
2020	A*	`conf`	PyDL8.5: a Library for Learning Optimal Decision Trees. IJCAI Gaël Aglin, Siegfried Nijssen, Pierre Schaus
2020	J	`jnl`	Uni- and multivariate probability density models for numeric subgroup discovery. Intell. Data Anal. Marvin Meeng, Harm de Vries, Peter A. Flach, Siegfried Nijssen, Arno J. Knobbe
2020	J	`jnl`	Using an interpretable Machine Learning approach to study the drivers of International Migration. CoRR Harold Silvère Kiossou, Yannik Schenk, Frédéric Docquier, Vinasétan Ratheil Houndji, Siegfried Nijssen, Pierre Schaus
2019	—	`conf`	A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns. SATToSE Dario Di Nucci, Hoang-Son Pham, Johan Fabry, Coen De Roover, Kim Mens, Tim Molderez, Siegfried Nijssen, Vadim Zaytsev
2019	—	`conf`	Generic Constraint-Based Block Modeling Using Constraint Programming. BNAIC/BENELEARN Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus
2019	A	`conf`	Generic Constraint-Based Block Modeling Using Constraint Programming. CP Alex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus
2019	—	`conf`	Learning Optimal Decision Trees Using Constraint Programming. BNAIC/BENELEARN Hélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus
2019	B	`conf`	Mining Patterns in Source Code Using Tree Mining Algorithms. DS Hoang-Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Molderez, Coen De Roover, Johan Fabry, Vadim Zaytsev
2019	A	`conf`	Modeling Pattern Set Mining Using Boolean Circuits. CP John O. R. Aoga, Siegfried Nijssen, Pierre Schaus
2019	—	`conf`	Stochastic Constraint Propagation for Mining Probabilistic Networks. BNAIC/BENELEARN Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen
2019	A*	`conf`	Stochastic Constraint Propagation for Mining Probabilistic Networks. IJCAI Anna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen
2018	B	`conf`	ConvoMap: Using Convolution to Order Boolean Data. IDA Thomas Bollen, Guillaume Leurquin, Siegfried Nijssen
2018	B	`conf`	Finding Probabilistic Rule Lists using the Minimum Description Length Principle. DS John O. R. Aoga, Tias Guns, Siegfried Nijssen, Pierre Schaus
2018	J	`jnl`	Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams. CoRR Anna L. D. Latour, Behrouz Babaki, Siegfried Nijssen
2017	B	`conf`	Biclustering Multivariate Time Series. IDA Ricardo Cachucho, Siegfried Nijssen, Arno J. Knobbe
2017	A	`conf`	Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving. CP Anna L. D. Latour, Behrouz Babaki, Anton Dries, Angelika Kimmig, Guy Van den Broeck, Siegfried Nijssen
2017	—	`ch.`	Constraint-Based Mining. Encyclopedia of Machine Learning and Data Mining Siegfried Nijssen
2017	—	`conf`	Discovering interesting patterns in large graph cubes. IEEE BigData Florian Demesmaeker, Amine Ghrab, Siegfried Nijssen, Sabri Skhiri
2017	J	`jnl`	MiningZinc: A declarative framework for constraint-based mining. Artif. Intell. Tias Guns, Anton Dries, Siegfried Nijssen, Guido Tack, Luc De Raedt
2017	J	`jnl`	Semiring Rank Matrix Factorization. IEEE Trans. Knowl. Data Eng. Thanh Le Van, Siegfried Nijssen, Matthijs van Leeuwen, Luc De Raedt
2017	J	`jnl`	The Inductive Constraint Programming Loop. IEEE Intell. Syst. Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
2017	—	`ch.`	Tree Mining. Encyclopedia of Machine Learning and Data Mining Siegfried Nijssen
2016	—	`conf`	Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series. ECML/PKDD (3) Ricardo Cachucho, Kaihua Liu, Siegfried Nijssen, Arno J. Knobbe
2016	—	`book`	Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach Data Mining and Constraint Programming Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi
2016	—	`conf`	Making Sense of Illustrated Handwritten Archives. DH 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
2016	—	`ch.`	Modeling in MiningZinc. Data Mining and Constraint Programming Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Négrevergne, Sergey Paramonov, Luc De Raedt
2016	—	`ch.`	Partition-Based Clustering Using Constraint Optimization. Data Mining and Constraint Programming Valerio Grossi, Tias Guns, Anna Monreale, Mirco Nanni, Siegfried Nijssen
2016	J	`jnl`	Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. Bioinform. 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
2016	—	`ch.`	The Inductive Constraint Programming Loop. Data Mining and Constraint Programming Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
2015	B	`conf`	Constraint-Based Querying for Bayesian Network Exploration. IDA Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt
2015	J	`jnl`	Efficient algorithms for finding optimal binary features in numeric and nominal labeled data. Knowl. Inf. Syst. Michael Mampaey, Siegfried Nijssen, Ad Feelders, Rob M. Konijn, Arno J. Knobbe
2015	—	`conf`	Finding Subspace Clusters Using Ranked Neighborhoods. ICDM Workshops Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals
2015	—	`conf`	Rank Matrix Factorisation. PAKDD (1) Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
2015	J	`jnl`	The Inductive Constraint Programming Loop. CoRR Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
2014	B	`conf`	Constrained Clustering Using Column Generation. CPAIOR Behrouz Babaki, Tias Guns, Siegfried Nijssen
2014	—	`ch.`	Constraint-Based Pattern Mining. Frequent Pattern Mining Siegfried Nijssen, Albrecht Zimmermann
2014	J	`jnl`	Constraints, Optimization and Data (Dagstuhl Seminar 14411). Dagstuhl Reports Luc De Raedt, Siegfried Nijssen, Barry O'Sullivan, Michèle Sebag
2014	J	`jnl`	Interactive Learning of Pattern Rankings. Int. J. Artif. Intell. Tools Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
2014	Misc	`conf`	Mining multivariate time series with mixed sampling rates. UbiComp Ricardo Cachucho, Marvin Meeng, Ugo Vespier, Siegfried Nijssen, Arno J. Knobbe
2014	—	`conf`	Ranked Tiling. ECML/PKDD (2) Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt
2014	—	`ch.`	Supervised Pattern Mining and Applications to Classification. Frequent Pattern Mining Albrecht Zimmermann, Siegfried Nijssen
2013	B	`conf`	Active Preference Learning for Ranking Patterns. ICTAI Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt
2013	A*	`conf`	Dominance Programming for Itemset Mining. ICDM Benjamin Négrevergne, Anton Dries, Tias Guns, Siegfried Nijssen
2013	A*	`conf`	Formalizing Hierarchical Clustering as Integer Linear Programming. AAAI Sean Gilpin, Siegfried Nijssen, Ian N. Davidson
2013	J	`jnl`	Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Data Min. Knowl. Discov. Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	J	`jnl`	Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Mach. Learn. Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I ECML/PKDD (1) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II ECML/PKDD (2) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III ECML/PKDD (3) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	A	`conf`	Mining characteristic multi-scale motifs in sensor-based time series. CIKM Ugo Vespier, Siegfried Nijssen, Arno J. Knobbe
2013	A*	`conf`	MiningZinc: A Modeling Language for Constraint-Based Mining. IJCAI Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt
2013	—	`conf`	The MiningZinc Framework for Constraint-Based Itemset Mining. ICDM Workshops Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt
2013	J	`jnl`	k-Pattern Set Mining under Constraints. IEEE Trans. Knowl. Data Eng. Tias Guns, Siegfried Nijssen, Luc De Raedt
2012	J	`jnl`	A Revised Publication Model for ECML PKDD CoRR Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2012	—	`ch.`	BiQL: A Query Language for Analyzing Information Networks. Bisociative Knowledge Discovery Anton Dries, Siegfried Nijssen, Luc De Raedt
2012	A*	`conf`	Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. ICDM Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno J. Knobbe
2012	—	`conf`	MDL-Based Analysis of Time Series at Multiple Time-Scales. ECML/PKDD (2) Ugo Vespier, Arno J. Knobbe, Siegfried Nijssen, Joaquin Vanschoren
2012	—	`conf`	Mining Local Staircase Patterns in Noisy Data. ICDM Workshops Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal
2012	A	`conf`	Mining Patterns in Networks using Homomorphism. SDM Anton Dries, Siegfried Nijssen
2012	J	`jnl`	k-Optimal: a novel approximate inference algorithm for ProbLog. Mach. Learn. Joris Renkens, Guy Van den Broeck, Siegfried Nijssen
2011	J	`jnl`	Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201). Dagstuhl Reports Luc De Raedt, Siegfried Nijssen, Barry O'Sullivan, Pascal Van Hentenryck
2011	—	`conf`	Constraint-Based Pattern Mining in Multi-relational Databases. ICDM Workshops Siegfried Nijssen, Aída Jiménez, Tias Guns
2011	—	`conf`	Declarative Heuristic Search for Pattern Set Mining. ICDM Workshops Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt
2011	—	`conf`	Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework. PAKDD (2) Tias Guns, Siegfried Nijssen, Luc De Raedt
2011	J	`jnl`	Itemset mining: A constraint programming perspective. Artif. Intell. Tias Guns, Siegfried Nijssen, Luc De Raedt
2011	J	`jnl`	Mining Patterns in Networks using Homomorphism CoRR Anton Dries, Siegfried Nijssen
2011	J	`jnl`	Pattern-Based Classification: A Unifying Perspective CoRR Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann
2011	C	`conf`	Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract). ISMIS Luc De Raedt, Siegfried Nijssen
2011	B	`conf`	k-Optimal: A Novel Approximate Inference Algorithm for ProbLog. ILP Joris Renkens, Guy Van den Broeck, Siegfried Nijssen
2010	—	`conf`	Analyzing graph databases by aggregate queries. MLG@KDD Anton Dries, Siegfried Nijssen
2010	—	`conf`	Cis-regulatory module detection using constraint programming. BIBM Tias Guns, Hong Sun, Kathleen Marchal, Siegfried Nijssen
2010	A*	`conf`	Constraint Programming for Data Mining and Machine Learning. AAAI Luc De Raedt, Tias Guns, Siegfried Nijssen
2010	—	`ch.`	Constraint-Based Mining. Encyclopedia of Machine Learning Siegfried Nijssen
2010	—	`ch.`	From Local Patterns to Classification Models. Inductive Databases and Constraint-Based Data Mining Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann
2010	—	`ch.`	Generalizing Itemset Mining in a Constraint Programming Setting. Inductive Databases and Constraint-Based Data Mining Jérémy Besson, Jean-François Boulicaut, Tias Guns, Siegfried Nijssen
2010	—	`ch.`	Inductive Queries for a Drug Designing Robot Scientist. 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	—	`conf`	Integrating Constraint Programming and Itemset Mining. ECML/PKDD (2) Siegfried Nijssen, Tias Guns
2010	J	`jnl`	Mining Predictive k-CNF Expressions. IEEE Trans. Knowl. Data Eng. Anton Dries, Luc De Raedt, Siegfried Nijssen
2010	J	`jnl`	Optimal constraint-based decision tree induction from itemset lattices. Data Min. Knowl. Discov. Siegfried Nijssen, Élisa Fromont
2010	—	`ch.`	Tree Mining. Encyclopedia of Machine Learning Siegfried Nijssen
2009	A	`conf`	A query language for analyzing networks. CIKM Anton Dries, Siegfried Nijssen, Luc De Raedt
2009	A*	`conf`	Correlated itemset mining in ROC space: a constraint programming approach. KDD Siegfried Nijssen, Tias Guns, Luc De Raedt
2009	—	`conf`	Data Mining, Interactive Semantic Structuring, and Collaboration: A Diversity-aware Method for Sense-making in Search. LivingWeb@ISWC Mathias Verbeke, Bettina Berendt, Siegfried Nijssen
2009	A	`conf`	Grammar Mining. SDM Siegfried Nijssen, Luc De Raedt
2009	J	`jnl`	Polynomial-Delay Enumeration of Monotonic Graph Classes. J. Mach. Learn. Res. Jan Ramon, Siegfried Nijssen
2008	A*	`conf`	Bayes optimal classification for decision trees. ICML Siegfried Nijssen
2008	A*	`conf`	Constraint programming for itemset mining. KDD Luc De Raedt, Tias Guns, Siegfried Nijssen
2008	—	`conf`	Induction of Node Label Controlled Graph Grammar Rules. MLG@ICML Hendrik Blockeel, Siegfried Nijssen
2008	B	`conf`	What Is Frequent in a Single Graph?. PAKDD Björn Bringmann, Siegfried Nijssen
2007	—	`conf`	General Graph Refinement with Polynomial Delay. MLG Jan Ramon, Siegfried Nijssen
2007	A*	`conf`	Mining optimal decision trees from itemset lattices. KDD Siegfried Nijssen, Élisa Fromont
2006	—	`conf`	Don't Be Afraid of Simpler Patterns. PKDD Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen
2006	—	`conf`	IQL: A Proposal for an Inductive Query Language. KDID Siegfried Nijssen, Luc De Raedt
2006	J	`jnl`	Substructure Mining Using Elaborate Chemical Representation. J. Chem. Inf. Model. Jeroen Kazius, Siegfried Nijssen, Joost N. Kok, Thomas Bäck, Adriaan P. IJzerman
2005	J	`jnl`	Frequent Subtree Mining - An Overview. Fundam. Informaticae Yun Chi, Richard R. Muntz, Siegfried Nijssen, Joost N. Kok
2005	—	`conf`	Multi-class Correlated Pattern Mining. KDID Siegfried Nijssen, Joost N. Kok
2005	J	`jnl`	Open source data mining: workshop report. SIGKDD Explor. Bart Goethals, Siegfried Nijssen, Mohammed Javeed Zaki
2004	A*	`conf`	A quickstart in frequent structure mining can make a difference. KDD Siegfried Nijssen, Joost N. Kok
2004	—	`conf`	Frequent graph mining and its application to molecular databases. SMC (5) Siegfried Nijssen, Joost N. Kok
2004	A	`conf`	Ideal Refinement of Datalog Clauses Using Primary Keys. ECAI Siegfried Nijssen, Joost N. Kok
2004	—	`conf`	The Gaston Tool for Frequent Subgraph Mining. GraBaTs Siegfried Nijssen, Joost N. Kok
2003	J	`jnl`	An analysis of the behavior of simplified evolutionary algorithms on trap functions. IEEE Trans. Evol. Comput. Siegfried Nijssen, Thomas Bäck
2003	—	`conf`	Efficient Frequent Query Discovery in FARMER. PKDD Siegfried Nijssen, Joost N. Kok
2001	A*	`conf`	Faster Association Rules for Multiple Relations. IJCAI Siegfried Nijssen, Joost N. Kok