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 monash.edu
Alexander MarxProfessor, TU DortmundVerified email at tu-dortmund.de
Duen Horng ChauProfessor, Georgia Institute of TechnologyVerified email at gatech.edu
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Kailash BudhathokiAWSVerified email at amazon.com
Jonas FischerPostdoctoral Fellow, Harvard UniversityVerified email at hsph.harvard.edu
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
Panagiotis MandrosDepartment of Biostatistics @ HarvardVerified email at hsph.harvard.edu
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerpen.be
David KaltenpothCISPA Helmholtz Center for Information SecurityVerified email at cispa.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
Luca M. GhiringhelliProfessor for Data-based Materials Modeling @ FAU, dept. of Materials Science and EngineeringVerified email at fau.de

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	393	2011
Intelligent traffic light control MA Wiering, J Veenen, J Vreeken, A Koopman Technical Report UU-CS, 2004	294	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	280	2012
VOG: Summarizing and Understanding Large Graphs D Koutra, U Kang, J Vreeken, C Faloutsos SIAM International Conference on Data Mining (SDM), 2014	267*	2014
Spiking neural networks, an introduction J Vreeken Technical Report UU-CS, 1-5, 2003	233	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	225	2004
Item sets that compress A Siebes, J Vreeken, M van Leeuwen SIAM Conference on Data Mining (SDM'06), 393-404, 2006	209	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	177	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	160	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	154	2012
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	135	2011
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	132	2020
Model order selection for boolean matrix factorization P Miettinen, J Vreeken Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	112	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	111	2017
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	100	2014
SLIM: Directly mining descriptive patterns K Smets, J Vreeken Proceedings of the SIAM International Conference on Data Mining (SDM’12) 12, 2012	99	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	94	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
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
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	82	2014

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