DBLP, Google Scholar

Publications by Type (per year)

Journal articles

In press
Paramonov, S, van Leeuwen, M & De Raedt, L Relational Data Factorization. Machine Learning, Springer
2017
Dzyuba, V, van Leeuwen, M & De Raedt, L Flexible constrained sampling with guarantees for pattern mining. Data Mining and Knowledge Discovery vol.31(5), pp 1266-1293, Springer, 2017. (ECMLPKDD'17 Special Issue)implementation
Le Van, T, Nijssen, S, van Leeuwen, M & De Raedt, L Semiring Rank Matrix Factorisation. Transactions on Knowledge and Data Engineering vol.29(8), pp 1737-1750, IEEE, 2017.
2016
Le Van, T, van Leeuwen, M, Fierro, AC, De Maeyer, D, Van den Eynden, J, Verbeke, L, De Raedt, L, Marchal, K & Nijssen, S Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. Bioinformatics vol.32(17), pp 445-454, Oxford University Press, 2016.implementation
Copmans, D, Meinl, T, Dietz, C, van Leeuwen, M, Ortmann, J, Berthold, M & de Witte, PAM A KNIME-based Analysis of the Zebrafish Photomotor Response Clusters the Phenotypes of 14 Classes of Neuroactive Molecules. Journal of Biomolecular Screening vol.21(5), pp 427-436, SAGE Publishing, 2016.implementation
van Leeuwen, M, De Bie, T, Spyropoulou, E & Mesnage, C Subjective Interestingness of Subgraph Patterns. Machine Learning vol.105(1), pp 41-75, Springer, 2016.implementation
2015
van Leeuwen, M & Galbrun, E Association Discovery in Two-View Data. Transactions on Knowledge and Data Engineering vol.27(12), pp 3190-3202, IEEE, 2015.implementation
2014
Dzyuba, V, van Leeuwen, M, Nijssen, S & De Raedt, L Interactive Learning of Pattern Rankings. International Journal on Artificial Intelligence Tools vol.23(6), World Scientific, 2014.
Pool, S, Bonchi, F & van Leeuwen, M Description-driven Community Detection. Transactions on Intelligent Systems and Technology vol.5(2), ACM, 2014.implementation
2012
van Leeuwen, M & Knobbe, AJ Diverse Subgroup Set Discovery. Data Mining and Knowledge Discovery vol.25(2), pp 208-242, Springer, 2012. (ECMLPKDD'11 Special Issue)implementation
2011
Vreeken, J, van Leeuwen, M & Siebes, A Krimp: Mining Itemsets that Compress. Data Mining and Knowledge Discovery vol.23(1), pp 169-214, Springer, 2011.implementation
2010
van Leeuwen, M Maximal Exceptions with Minimal Descriptions. Data Mining and Knowledge Discovery vol.21(2), pp 259-276, Springer, 2010. (ECMLPKDD'10 Special Issue)
2009
van Leeuwen, M, Vreeken, J & Siebes, A Identifying the Components. Data Mining and Knowledge Discovery vol.19(2), pp 176-193, Springer, 2009. (ECMLPKDD'09 Special Issue) (Best Student Paper)video

Conference papers

2017
Ukkonen, A, Dzyuba, V & van Leeuwen, M Explaining Deviating Subsets through Explanation Networks. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'17), Springer, 2017.
Dzyuba, V & van Leeuwen, M Learning what matters – Sampling interesting patterns. In: Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'17), pp 534-546, Springer, 2017.
2016
van Stein, B, van Leeuwen, M, Wang, H, Purr, S, Kreissl, S, Meinhardt, J & Bäck, T Towards Data Driven Process Control in Manufacturing Car Body Parts. In: Proceedings of IEEE International Conference on Computational Science and Computational Intelligence (IEEE CSCI-ISBD'16), IEEE, 2016.
van Rijn, S, Wang, H, van Leeuwen, M & Bäck, T Evolving the Structure of Evolution Strategies. In: Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI'16), IEEE, 2016.
van Stein, B, van Leeuwen, M & Bäck, T Local Subspace-Based Outlier Detection using Global Neighbourhoods. In: Proceedings of IEEE International Conference on Big Data (IEEE BigData'16), IEEE, 2016.
van Leeuwen, M & Ukkonen, A Expect the Unexpected - On the Significance of Subgroups. In: Proceedings of Discovery Science (DS'16), pp 51-66, Springer, 2016.
van Leeuwen, M & Galbrun, E Association Discovery in Two-View Data (extended abstract). In: TKDE Poster Track of ICDE 2016, IEEE, 2016.implementation
2015
Paramonov, S, van Leeuwen, M, Denecker, M & De Raedt, L An exercise in declarative modeling for relational query mining. In: Proceedings of the 25th International Conference On Inductive Logic Programming (ILP'15), pp 166-182, Springer, 2015.
Le Van, T, van Leeuwen, M, Nijssen, S & De Raedt, L Rank Matrix Factorisation. In: Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'15), pp 734-746, Springer, 2015.implementation
van Leeuwen, M & Ukkonen, A Same bang, fewer bucks: efficient discovery of the cost-influence skyline. In: Proceedings of the SIAM Conference on Data Mining 2015 (SDM'15), SIAM, 2015.implementation
2014
Le Van, T, van Leeuwen, M, Nijssen, S, Fierro, AC, Marchal, K & De Raedt, L Ranked Tiling. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'14), pp 98-113, Springer, 2014.
van Leeuwen, M & Ukkonen, A Fast Estimation of the Pattern Frequency Spectrum. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'14), pp 114-129, Springer, 2014.implementation
2013
Dzyuba, V, van Leeuwen, M, Nijssen, S & De Raedt, L Active Preference Learning for Ranking Patterns. In: Proceedings of the International Conference on Tools with Artificial Intelligence 2013 (ICTAI'13), IEEE, 2013. (Best Paper)
Dzyuba, V & van Leeuwen, M Interactive Discovery of Interesting Subgroup Sets. In: Proceedings of the Twelfth International Symposium on Intelligent Data Analysis Data 2013 (IDA 2013), pp 150-161, Springer, 2013.
van Leeuwen, M & Ukkonen, A Discovering Skylines of Subgroup Sets. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'13), pp 272-287, Springer, 2013.
2012
van Leeuwen, M & Puspitaningrum, D Improving Tag Recommendation using Few Associations. In: Proceedings of the Eleventh International Symposium on Intelligent Data Analysis Data 2012 (IDA 2012), pp 184-194, Springer, 2012.
2011
van Leeuwen, M & Knobbe, AJ Non-Redundant Subgroup Discovery in Large and Complex Data. In: Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Data 2011 (ECML PKDD'11), pp 459-474, Springer, 2011.
Bonchi, F, van Leeuwen, M & Ukkonen, A Characterizing Uncertain Data using Compression. In: Proceedings of the SIAM Conference on Data Mining 2011 (SDM'11), SIAM, 2011.
2010
Duivesteijn, W, Knobbe, AJ, Feelders, A & van Leeuwen, M Subgroup Discovery meets Bayesian networks – an Exceptional Model Mining approach. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), IEEE, 2010.
2009
van Leeuwen, M, Bonchi, F, Sigurbjörnsson, B & Siebes, A Compressing Tags to Find Interesting Media Groups. In: Proceedings of the ACM Conference on Information and Knowledge Management (CIKM'09), pp 1147-1156, ACM, 2009. (Runner-up Best Student Paper)
van Leeuwen, M, Vreeken, J & Siebes, A Identifying the Components. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'09), pp 32-32, Springer, 2009. (ECMLPKDD'09 Best Student Paper)video
2008
van Leeuwen, M & Siebes, A StreamKrimp: Detecting Change in Data Streams. In: Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Data (ECMLPKDD'08), pp 672-687, LNCS 5211, Springer, 2008.implementation
2007
Vreeken, J, van Leeuwen, M & Siebes, A Preserving Privacy through Data Generation. In: Proceedings of the IEEE International Conference on Data Mining (ICDM'07), pp 685-690, IEEE, 2007.
Siebes, A, van Leeuwen, M & Vreeken, J MDL for Pattern Mining. In: Proceedings of the International Conference on Statistics for Data Mining, Learning and Knowledge Extraction Models (IASC'07), 2007.
Vreeken, J, van Leeuwen, M & Siebes, A Characterising the Difference. In: Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2007 (KDD'07), pp 765-774, ACM, 2007.
2006
van Leeuwen, M, Vreeken, J & Siebes, A Compression Picks the Item Sets that Matter. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'06), pp 585-592, Springer, 2006.implementation
Siebes, A, Vreeken, J & van Leeuwen, M Item Sets That Compress. In: Proceedings of the SIAM International Conference on Data Mining (SDM'06), pp 393-404, SIAM, 2006.implementation

Book chapters

2014
van Leeuwen, M & Vreeken, J Mining and Using Sets of Patterns through Compression. In: Aggarwal, CC & Han, J (eds) Frequent Pattern Mining, pp 165-198, Springer, 2014.
van Leeuwen, M Interactive Data Exploration using Pattern Mining. In: Holzinger, A & Jurisica, I (eds) Interactive Knowledge Discovery and Data Mining: State-of-the-Art and Future Challenges in Biomedical Informatics, LNCS 8401, Springer, 2014.

Workshop and demo papers

2015
Aksehirli, E, Nijssen, S, van Leeuwen, M & Goethals, B Finding Subspace Clusters using Ranked Neighborhoods. In: Proceedings of the ICDM 2015 workshops (HDM workshop), IEEE, 2015.
van Leeuwen, M & Cardinaels, L VIPER - Visual Pattern Explorer. Demo paper in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'15), Springer, 2015.
2013
De Raedt, L, Paramonov, S & van Leeuwen, M Relational Decomposition using Answer Set Programming. In: LNMR'13 - 1st Workshop on Learning and Non-Monotonic Reasoning (at LPNMR), 2013.
2012
Le Van, T, Fierro, C, Guns, T, van Leeuwen, M, Nijssen, S, De Raedt, L & Marchal, K Mining Local Staircase Patterns in Noisy Data. In: Proceedings of the ICDM 2012 workshops (CoClus workshop), IEEE, 2012.
2003
Koopman, ACM, van Leeuwen, M & Vreeken, J Exploring Temporal Memory of LSTM and Spiking Circuits. In: Workshop on the Future of Neural Networks (FUNN'03), 2003.
2002
Zufferey, J-C, Floreano, D, van Leeuwen, M & Merenda, T Evolving Vision-based Flying Robots. In: Proceedings of the 2nd International Workshop on Biologically Motivated Computer Vision 2002 (BMCV'02), 2002.

Tutorials

2015
van Leeuwen, M, Siebes, A & Vreeken, J Information Theoretic Methods in Data Mining. At the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'14), Nancy, France, 2015.website
2014
Siebes, A, van Leeuwen, M & Vreeken, J Information Theoretic Methods in Data Mining. At the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'14), Nancy, France, 2014.website

Proceedings (edited volumes)

2017
Chau, DH, Vreeken, J, van Leeuwen, M, Shahaf, D & Faloutsos, C (eds) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA'17). 2017.website
2016
Chau, DH, Vreeken, J, van Leeuwen, M, Shahaf, D & Faloutsos, C (eds) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA'16). 2016.website
2015
Fromont, E, De Bie, T & van Leeuwen, M (eds) Advances in Intelligent Data Analysis XIV (proceedings of IDA 2015). LNCS 9385, Springer, 2015.
Chau, DH, Vreeken, J, van Leeuwen, M, Shahaf, D & Faloutsos, C (eds) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA'15). 2015.website
2014
Blockeel, H, van Leeuwen, M & Vinciotti, V (eds) Advances in Intelligent Data Analysis XIII (proceedings of IDA 2014). LNCS 8819, Springer, 2014.
Chau, DH, Vreeken, J, van Leeuwen, M & Faloutsos, C (eds) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA'14). 2014.website
2013
Chau, DH, Vreeken, J, van Leeuwen, M & Faloutsos, C (eds) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA'13). ACM, 2013.website
2012
Vreeken, J, van Leeuwen, M, Nijssen, S, Tatti, N, Dries, A & Goethals, B (eds) Proceedings of the ECML PKDD Workshop on Instant Interactive Data Mining (IID'12). 2012.website

Theses

2010
van Leeuwen, M Patterns that Matter. Dissertation, Universiteit Utrecht, 2010.
2004
van Leeuwen, M Spike Timing Dependent Structural Plasticity, in a single model neuron. M.Sc. Thesis, Universiteit Utrecht, 2004.

Technical reports

2014
van Leeuwen, M & Ukkonen, A Estimating the pattern frequency spectrum inside the browser. Technical Report arXiv:1409.7311, arXiv, 2014.implementation
2007
Vreeken, J, van Leeuwen, M & Siebes, A Privacy Preservation through Data Generation. Technical Report UU-CS-2007-020, Universiteit Utrecht, 2007.
2006
van Leeuwen, M, Vreeken, J & Siebes, A Compression Picks the Significant Item Sets. Technical Report UU-CS-2006-050, Universiteit Utrecht, 2006.implementation
2002
van Leeuwen, M Evolutionary blimp & i. Technical Report (internship), Universiteit Utrecht, 2002.