Patterns
that Matter

News and updates

  • 01.05.2016 Sander van Rijn has started as a PhD student in the DAMIOSO project, in collaboration with Honda Research. He will work on simulation data mining.
  • 10.03.2016 IDEA 2016, our (full-day!) workshop on Interactive Data Exploration and Analytics, got accepted at KDD 2016.
  • 02.12.2015 Due to popular demand, the submission deadline for the TKDD special issue on Interactive Data Exploration and Analytics has been extended to Dec 11, 2015 (final!).
  • 30.10.2015 Our paper titled A KNIME-based Analysis of the Zebrafish Photomotor Response Clusters the Phenotypes of 14 Classes of Neuroactive Molecules, with Daniëlle Copmans, Thorsten Meinl, Christian Dietz, Julia Ortmann, Michael Berthold, and Peter de Witte, got accepted at JBS.
  • 19.10.2015 Our paper titled Subjective Interestingness of Subgraph Patterns, with Tijl De Bie, Eirini Spyropoulou, and Cedric Mesnage, got accepted for publication in Machine Learning.
  • 11.09.2015 I will be Workshop and Tutorial Co-Chair of ECML PKDD 2016, which will take place in Riva del Garda, Italy, September 19-23, 2016.
  • 02.09.2015 Our paper titled Finding Subspace Clusters using Ranked Neighborhoods, with Emin Aksehirli, Siegfried Nijssen, and Bart Goethals, got accepted at HDM'15 (ICDM workshop).
  • 01.09.2015 NEW JOB! I am now a senior researcher at the Leiden Institute of Advanced Computer Science (LIACS).
  • 26.08.2015 Call for papers (PDF or TXT) for TKDD special issue on Interactive Data Exploration and Analytics now available. Submit your best IDEA! Deadline: Dec 4, 2015.
  • 28.07.2015 The proceedings of IDEA 2015, the KDD 2015 workshop on Interactive Data Exploration and Analytics, are now available.
  • 30.06.2015 Our paper titled Association Discovery in Two-View Data, with Esther Galbrun, got accepted for publication in TKDE.
  • 03.06.2015 Our demo paper titled VIPER - Visual Pattern Explorer, with Lara Cardinaels, got accepted at ECML PKDD 2015.
  • 01.06.2015 Our paper titled An exercise in declarative modeling for relational query mining, with Sergey Paramonov, Marc Denecker, and Luc De Raedt, got accepted at ILP 2015.

I am a senior researcher at the Leiden Institute of Advanced Computer Science (LIACS) at Leiden University. My main interest is exploratory data mining: how can we enable domain experts to freely explore their data and discover knowledge from it?

The approach I take is to identify patterns that matter. These are often discovered by inducing pattern-based models that characterise the data. To this end, information theoretic concepts such as the Minimum Description Length (MDL) principle haven proven very useful. Recently, I have also started investigating the potential of interactive data analytics, i.e., by involving humans in the loop.


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Activities

Current and upcoming Recent

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Selected recent publications

2016
van Leeuwen, M. & Galbrun, E. Association Discovery in Two-View Data (extended abstract). In: TKDE Poster Track of ICDE 2016, 2016.
Copmans, D., Meinl, T., Dietz, C., van Leeuwen, M., Ortmann, J., Berthold, M.R. & de Witte, P.A.M. A KNIME-based Analysis of the Zebrafish Photomotor Response Clusters the Phenotypes of 14 Classes of Neuroactive Molecules. In: Journal of Biomolecular Screening, vol.?(?), 2016.
van Leeuwen, M., De Bie, T., Spyropoulou, E. & Mesnage, C. Subjective Interestingness of Subgraph Patterns. In: Machine Learning, vol.?(?), 2016.
2015
van Leeuwen, M. & Galbrun, E. Association Discovery in Two-View Data. In: Transactions on Knowledge and Data Engineering, vol.27(12), 2015.
Fromont, E., De Bie, T. & van Leeuwen, M. (eds) Advances in Intelligent Data Analysis XIV (proceedings of IDA 2015), LNCS 9385, Springer, 2015.
Aksehirli, E., Nijssen, S., van Leeuwen, M. & Goethals, B. Finding Subspace Clusters using Ranked Neighborhoods. In: Workshop proceedings of ICDM 2015 (HDM workshop), 2015.
Chau, D.H., Vreeken, J., van Leeuwen, M., Shahaf, D. & Faloutsos, C. (eds) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA 2015), 2015.
van Leeuwen, M. & Cardinaels, L. VIPER - Visual Pattern Explorer. Demo paper at: ECML PKDD 2015, 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), 2015.
Le Van, Th., 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), 2015.
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), 2015.
2014
Dzyuba, V., van Leeuwen, M., Nijssen, S. & De Raedt, L. Interactive Learning of Pattern Rankings. In: International Journal on Artificial Intelligence Tools, vol.23(6), 2014.
Blockeel, H., van Leeuwen, M. & Vinciotti, V. (eds) Advances in Intelligent Data Analysis XIII (proceedings of IDA 2014), LNCS 8819, Springer, 2014.
van Leeuwen, M. & Vreeken, J. Mining and Using Sets of Patterns through Compression. In: Frequent Pattern Mining (Aggarwal, C.C., & Han, J., eds), 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 Practices of Knowledge Discovery in Data 2014 (ECML PKDD'14), 2014.
Le Van, Th., van Leeuwen, M., Nijssen, S., Fierro, A.C., Marchal, K. & De Raedt, L. Ranked Tiling. In: Proceedings of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Data 2014 (ECML PKDD'14), 2014.
Chau, D.H., Vreeken, J., van Leeuwen, M. & Faloutsos, C. (eds) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA 2014), 2014.
van Leeuwen, M. Interactive Data Exploration using Pattern Mining. In: Interactive Knowledge Discovery and Data Mining: State-of-the-Art and Future Challenges in Biomedical Informatics (Holzinger, A. & Jurisica, I., eds), LNCS, Springer, 2014.
Pool, S., Bonchi, F. & van Leeuwen, M. Description-driven Community Detection. In: Transactions on Intelligent Systems and Technology, vol.5(2), ACM, 2014.