Faculty
Jilles Vreeken is tenured faculty at the Helmholtz Center on Information Security, where he leads the Exploratory Data Analysis group. In addition, he is both a Senior Researcher at the Max Planck Institute for Informatics, as well as Honorary Professor at Saarland University.
His research interests include data mining, machine learning, and causal inference. He is particularly interested in developing well-founded theory and efficient methods for extracting informative causal models and patterns from large data, and putting these to good use. He has authored 3 book chapters and over 90 conference and journal papers. He received three best paper awards, the ACM SIGKDD 2010 Doctoral Dissertation Runner-Up Award, and the IEEE ICDM 2018 Tao Li Award.
He was a member of the steering committee of ECML PKDD between 2016 and 2019, panel chair for SIAM SDM 2019, tutorial chair for SIAM SDM 2017, program co-chair for ECML PKDD 2016, publicity co-chair for IUI 2015, sponsorship co-chair for ECML PKDD 2014, and workshop co-chair of IEEE ICDM 2012. He co-organised ten workshops and co-lectured six tutorials. He is a member of the editorial board of Data Mining and Knowledge Discovery (DAMI) and of the ECML PKDD Journal Track Guest Editorial Board, in addition he regularly reviews for TKDD, KAIS, JMLR, as well as for KDD, ICDM, NeurIPS, SDM, and ECML PKDD.
He obtained his M.Sc. in Computer Science from Universiteit Utrecht, the Netherlands. He pursued his Ph.D. at the same university under supervision of Arno Siebes, and defended his thesis 'Making Pattern Mining Useful' in 2009. Between 2009 and 2013 he was a post-doctoral researcher at the University of Antwerp, supported by a Post-doctoral Fellowship of the Research Foundation Flanders (FWO). Before joining CISPA in 2018, he was the leader (W2) of the Independent Research Group on Exploratory Data Analysis at the DFG Cluster of Excellence on Multimodal Computing and Interaction (MMCI) at Saarland University.
ICML
Proceedings of the International Conference on Machine LearningInternational Conference on Machine Learning
UNSPECIFIED
Nucleic acids researchNucleic acids research
KDD
Graph Similarity Description: How Are These Graphs Similar?KDD [ACM International Conference on Knowledge Discovery and Data Mining]
KDD
KDD [ACM International Conference on Knowledge Discovery and Data Mining]KDD [ACM International Conference on Knowledge Discovery and Data Mining]
UNSPECIFIED
The Journal of Chemical PhysicsThe Journal of Chemical Physics
SDM
SIAM International Conference on Data MiningSIAM International Conference on Data Mining
SDM
SIAM Journal on ComputingProceedings of the 2021 SIAM International Conference on Data Mining (SDM)
SDM
SIAM Journal on ComputingProceedings of the 2021 SIAM International Conference on Data Mining (SDM)
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)AAAI Conference on Artificial Intelligence
ICDM
Proceedings of the IEEE International Conference on Data Mining (ICDM)IEEE International Conference on Data Mining