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Siegfried Nijssen
Siegfried Nijssen
ICTEAM, EPL, Université catholique de Louvain; Universiteit Leiden
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A quickstart in frequent structure mining can make a difference
S Nijssen, JN Kok
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
7412004
Frequent subtree mining–an overview
Y Chi, RR Muntz, S Nijssen, JN Kok
Fundamenta Informaticae 66 (1-2), 161-198, 2005
3422005
What is frequent in a single graph?
B Bringmann, S Nijssen
Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008
2872008
Itemset mining: A constraint programming perspective
T Guns, S Nijssen, L De Raedt
Artificial Intelligence 175 (12-13), 1951-1983, 2011
2432011
The gaston tool for frequent subgraph mining
S Nijssen, JN Kok
Electronic Notes in Theoretical Computer Science 127 (1), 77-87, 2005
2402005
Constraint programming for itemset mining
L De Raedt, T Guns, S Nijssen
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
2312008
Efficient discovery of frequent unordered trees
S Nijssen, JN Kok
First international workshop on mining graphs, trees and sequences 2003, 2003
1722003
Learning optimal decision trees using caching branch-and-bound search
G Aglin, S Nijssen, P Schaus
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3146-3153, 2020
1642020
Faster association rules for multiple relations
S Nijssen, J Kok
International joint conference on artificial intelligence 17 (1), 891-896, 2001
1382001
Learning optimal decision trees using constraint programming
H Verhaeghe, S Nijssen, G Pesant, CG Quimper, P Schaus
Constraints 25, 226-250, 2020
1222020
Mining optimal decision trees from itemset lattices
S Nijssen, E Fromont
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
1172007
Substructure mining using elaborate chemical representation
J Kazius, S Nijssen, J Kok, T Bäck, AP IJzerman
Journal of Chemical Information and Modeling 46 (2), 597-605, 2006
1082006
Correlated itemset mining in ROC space: a constraint programming approach
S Nijssen, T Guns, L De Raedt
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
1002009
Constraint programming for data mining and machine learning
L De Raedt, T Guns, S Nijssen
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1671-1675, 2010
982010
k-Pattern set mining under constraints
T Guns, S Nijssen, L De Raedt
IEEE Transactions on Knowledge and Data Engineering 25 (2), 402-418, 2011
962011
Optimal constraint-based decision tree induction from itemset lattices
S Nijssen, E Fromont
Data Mining and Knowledge Discovery 21, 9-51, 2010
842010
Pattern-based classification: A unifying perspective
B Bringmann, S Nijssen, A Zimmermann
arXiv preprint arXiv:1111.6191, 2011
832011
Decision trees: from efficient prediction to responsible AI
H Blockeel, L Devos, B Frénay, G Nanfack, S Nijssen
Frontiers in Artificial Intelligence 6, 1124553, 2023
812023
Don’t be afraid of simpler patterns
B Bringmann, A Zimmermann, L De Raedt, S Nijssen
European Conference on Principles of Data Mining and Knowledge Discovery, 55-66, 2006
792006
Frequent graph mining and its application to molecular databases
S Nijssen, JN Kok
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat …, 2004
762004
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Artículos 1–20