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 BoleyMonash UniversityVerified email at monash.edu
Alexander MarxETH AI CenterVerified email at inf.ethz.ch
Duen Horng "Polo" ChauAssociate Professor, Georgia Institute of TechnologyVerified email at gatech.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu
Kailash BudhathokiAmazon AIVerified email at amazon.com
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerpen.be
Panagiotis MandrosDepartment of Biostatistics @ HarvardVerified email at hsph.harvard.edu
Antti OulasvirtaAalto UniversityVerified email at aalto.fi
Giulio JacucciUniversity of HelsinkiVerified email at helsinki.fi
Dorota GlowackaUniversity of HelsinkiVerified email at cs.helsinki.fi
Pauli MiettinenProfessor of Data Science, University of Eastern FinlandVerified email at uef.fi
Luca M. GhiringhelliFritz-Haber-Institut der Max-Planck-GesellschaftVerified email at fhi-berlin.mpg.de
Jonas FischerPostdoctoral Fellow, Harvard UniversityVerified email at hsph.harvard.edu
Marco WieringInstitute of Artificial Intelligence and Cognitive Engineering, University of GroningenVerified email at rug.nl

Jilles Vreeken

CISPA Helmholtz Center for Information Security

Verified email at cispa.de - Homepage

Data Mining Machine Learning Causal Inference Information Theory


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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	379	2011
Intelligent traffic light control MA Wiering, J Veenen, J Vreeken, A Koopman Technical Report UU-CS, 2004	272	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	253	2012
VOG: Summarizing and Understanding Large Graphs D Koutra, U Kang, J Vreeken, C Faloutsos SIAM International Conference on Data Mining (SDM), 2014	223*	2014
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	214	2004
Spiking neural networks, an introduction J Vreeken Technical Report UU-CS, 1-5, 2003	209	2003
Item sets that compress A Siebes, J Vreeken, M van Leeuwen SIAM Conference on Data Mining (SDM'06), 393-404, 2006	203	2006
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	144	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	142	2012
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	140	2016
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
Model order selection for boolean matrix factorization P Miettinen, J Vreeken Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	110	2011
SLIM: Directly mining descriptive patterns K Smets, J Vreeken Proceedings of the SIAM International Conference on Data Mining (SDM’12) 12, 2012	96	2012
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	93	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	90	2014
The odd one out: Identifying and characterising anomalies K Smets, J Vreeken Proceedings of the SIAM International Conference on Data Mining (SDM’11), 2011	87	2011
Compression picks item sets that matter M van Leeuwen, J Vreeken, A Siebes Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006	85	2006
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	80	2013
Characterising the difference J Vreeken, M Van Leeuwen, A Siebes Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	79	2007
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	78	2020

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