Jilles Vreeken
Jilles Vreeken is a former member of the ADA group. He currently is the group leader of the Exploratory Data Analysis group at the Cluster of Excellence on Multimodal Computation and Interaction (MMCI) at Saarland University (UdS).
Jilles was a Ph.D. student in the ADA group from September 2005 to October 2009 and defended his thesis 'Making Pattern Mining Useful' on December 15th 2009.

Selected Refereed Publications

2011
Vreeken, J., van Leeuwen, M. & Siebes, A. Krimp: Mining Itemsets that Compress. In: Data Mining and Knowledge Discovery, vol.23(1), Springer, 2011.
2009
Vreeken, J. Making Pattern Mining Useful, Dissertation, Universiteit Utrecht, 2009.
van Leeuwen, M., Vreeken, J. & Siebes, A. Identifying the Components. In: Data Mining and Knowledge Discovery, special issue ECMLPKDD'09, vol.19(2), pp 176-193, Springer, 2009.
Heikinheimo, H., Vreeken, J., Siebes, A. & Mannila, H. Low-Entropy Set Selection. In: Proceedings of the SIAM International Conference on Data Mining (SDM'09), pp 569-579, 2009.
2008
Tatti, N. & Vreeken, J. Finding Good Itemsets by Packing Data. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08), pp 588-597, 2008.
Vreeken, J. & Siebes, A. Filling in the Blanks - Krimp Minimisation for Missing Data. In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08), pp 1067-1072, 2008.
2007
Vreeken, J., van Leeuwen, M. & Siebes, A. Preserving Privacy through Data Generation. In: Proceedings of the IEEE Conference on Data Mining 2007 (ICDM'07), pp 685-690, 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, 2007.
2006
van Leeuwen, M., Vreeken, J. & Siebes, A. Compression Picks the Item Sets that Matter. In: Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'06), pp 585-592, 2006.
Siebes, A., Vreeken, J. & van Leeuwen, M. Item Sets That Compress. In: Proceedings of the SIAM Conference on Data Mining 2006 (SDM'06), pp 393-404, 2006.
2004
Wiering, M.A., Vreeken, J., Van Veenen, J. & Koopman, A.C.M. Simulation and Optimization of Traffic in a City. In: Proceedings of the IEEE Intelligent Vehicles Symposium 2004 (IV'04), pp 453-458, 2004.
2003
Koopman, A.C.M., van Leeuwen, M. & Vreeken, J. Exploring Temporal Memory of LSTM and Spiking Circuits. In: Future of Neural Networks workshop 2003 (FUNN2003), 2003.

Selected Unrefereed Publications

2008
Vreeken, J. & Siebes, A. Krimp Minimisation for Missing Data Estimation, Technical Report UU-CS-2008-034, Universiteit Utrecht, 2008.
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.
2004
Vreeken, J. On real-world temporal pattern recognition using Liquid State Machines, M.Sc. Thesis. Institute for Information and Computing Sciences, Utrecht University, 2004.
2002
Vreeken, J. Spiking neural networks, an introduction, Technical Report UU-CS-2003-008, Institute for Information and Computing Sciences, Universiteit Utrecht, 2002.