Jilles Vreeken

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Matthijs van LeeuwenAssociate Professor, Leiden UniversityVerified email at liacs.leidenuniv.nl
Nikolaj TattiUniversity of HelsinkiVerified email at helsinki.fi
Christos FaloutsosCMUVerified email at cs.cmu.edu
Mario BoleyUniversity of Haifa, Monash UniversityVerified email at is.haifa.ac.il
Alexander MarxProfessor, TU DortmundVerified email at tu-dortmund.de
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu
Duen Horng ChauProfessor, Georgia Institute of TechnologyVerified email at gatech.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Jonas FischerGroup Leader, Max-Planck-Institute for InformaticsVerified email at mpi-inf.mpg.de
Kailash BudhathokiAWSVerified email at amazon.com
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Michael MampaeyVerified email at nsx.normalizedsystems.org
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
David KaltenpothCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Panagiotis MandrosDepartment of Biostatistics @ HarvardVerified email at hsph.harvard.edu
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerpen.be
Luca M. GhiringhelliProfessor for Data-based Materials Modeling @ FAU, dept. of Materials Science and EngineeringVerified email at fau.de
Antti OulasvirtaProfessor, Aalto UniversityVerified email at aalto.fi
Giulio JacucciUniversity of HelsinkiVerified email at helsinki.fi
Dorota GlowackaUniversity of HelsinkiVerified email at cs.helsinki.fi

Jilles Vreeken

CISPA Helmholtz Center for Information Security

Verified email at cispa.de - Homepage

Machine Learning Causal Inference Data Mining


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Krimp: mining itemsets that compress J Vreeken, M Van Leeuwen, A Siebes Data Mining and Knowledge Discovery 23, 169-214, 2011	401	2011
Intelligent traffic light control MA Wiering, J Veenen, J Vreeken, A Koopman Technical Report UU-CS, 2004	301	2004
Spotting culprits in epidemics: How many and which ones? BA Prakash, J Vreeken, C Faloutsos 2012 IEEE 12th international conference on data mining, 11-20, 2012	287	2012
VOG: Summarizing and Understanding Large Graphs D Koutra, U Kang, J Vreeken, C Faloutsos SIAM International Conference on Data Mining (SDM), 2014	275*	2014
Spiking neural networks, an introduction J Vreeken Technical Report UU-CS, 1-5, 2003	237	2003
Simulation and optimization of traffic in a city M Wiering, J Vreeken, J Van Veenen, A Koopman IEEE Intelligent Vehicles Symposium, 2004, 453-458, 2004	229	2004
Item sets that compress A Siebes, J Vreeken, M van Leeuwen SIAM Conference on Data Mining (SDM'06), 393-404, 2006	211	2006
Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks K Athukorala, D Głowacka, G Jacucci, A Oulasvirta, J Vreeken Journal of the Association for Information Science and Technology 67 (11 …, 2016	180	2016
Fast and Reliable Anomaly Detection in Categorical Data L Akoglu, H Tong, J Vreeken, C Faloutsos ACM Conference on Information and Knowledge Management (CIKM), 2012	165	2012
The long and the short of it: summarising event sequences with serial episodes N Tatti, J Vreeken Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	158	2012
Identifying domains of applicability of machine learning models for materials science C Sutton, M Boley, LM Ghiringhelli, M Rupp, J Vreeken, M Scheffler Nature communications 11 (1), 4428, 2020	143	2020
Tell me what i need to know: succinctly summarizing data with itemsets M Mampaey, N Tatti, J Vreeken Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	137	2011
Uncovering structure-property relationships of materials by subgroup discovery BR Goldsmith, M Boley, J Vreeken, M Scheffler, LM Ghiringhelli New Journal of Physics 19 (1), 013031, 2017	117	2017
Model order selection for boolean matrix factorization P Miettinen, J Vreeken Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	112	2011
MDL4BMF: Minimum Description Length for Boolean Matrix Factorization P Miettinen, J Vreeken ACM transactions on knowledge discovery from data (TKDD) 8 (4), 1-31, 2014	102	2014
SLIM: Directly mining descriptive patterns K Smets, J Vreeken Proceedings of the SIAM International Conference on Data Mining (SDM’12) 12, 2012	100	2012
The odd one out: Identifying and characterising anomalies K Smets, J Vreeken Proceedings of the SIAM International Conference on Data Mining (SDM’11), 2011	98	2011
CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection HV Nguyen, E Müller, J Vreeken, F Keller, K Böhm SDM, 198-206, 2013	87	2013
Efficiently spotting the starting points of an epidemic in a large graph BA Prakash, J Vreeken, C Faloutsos Knowledge and information systems 38, 35-59, 2014	86	2014
Compression picks item sets that matter M van Leeuwen, J Vreeken, A Siebes Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006	86	2006

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