Jilles Vreeken

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	すべて	2016 年以来
引用	4004	2373
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i10 指標	68	54

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共著者

Matthijs van LeeuwenAssociate Professor Data Mining, Leiden University確認したメールアドレス: liacs.leidenuniv.nl
Nikolaj TattiUniversity of Helsinki確認したメールアドレス: helsinki.fi
Christos FaloutsosCMU確認したメールアドレス: cs.cmu.edu
Mario BoleyMonash University確認したメールアドレス: monash.edu
Duen Horng (Polo) ChauAssociate Professor of Computer Science, Georgia Institute of Technology確認したメールアドレス: gatech.edu
Leman AkogluAssociate Professor of Information Systems, Heinz College, Carnegie Mellon University確認したメールアドレス: andrew.cmu.edu
Hanghang TongUniversity of Illinois at Urbana-Champaign確認したメールアドレス: illinois.edu
Alexander MarxPhD candidate at Max Planck Institute for Informatics, Saarland University確認したメールアドレス: mpi-inf.mpg.de
B. Aditya PrakashAssociate Professor, Georgia Institute of Technology確認したメールアドレス: cs.cmu.edu
Danai KoutraUniversity of Michigan, Ann Arbor確認したメールアドレス: umich.edu
Bart GoethalsProfessor of Computer Science, University of Antwerp確認したメールアドレス: uantwerp.be
Pauli MiettinenProfessor of Data Science, University of Eastern Finland確認したメールアドレス: uef.fi
Marco WieringInstitute of Artificial Intelligence and Cognitive Engineering, University of Groningen確認したメールアドレス: rug.nl
Panagiotis MandrosDoctoral researcher @ Max Planck Institute for Informatics and CISPA Helmholtz Center確認したメールアドレス: mpi-inf.mpg.de
Antti OulasvirtaAalto University確認したメールアドレス: aalto.fi
Giulio JacucciUniversity of Helsinki確認したメールアドレス: helsinki.fi
Dorota GlowackaUniversity of Helsinki確認したメールアドレス: cs.helsinki.fi
Bryan R. GoldsmithDow Corning Assistant Professor of Chemical Engineering at University of Michigan, Ann Arbor確認したメールアドレス: umich.edu
U KangProfessor of Computer Science and Engineering, Seoul National University確認したメールアドレス: snu.ac.kr
Matthias SchefflerDirector at Fritz-Haber-Institut der Max-Planck-Gesellschaft確認したメールアドレス: fhi-berlin.mpg.de

Jilles Vreeken

CISPA Helmholtz Center for Information Security; Professor, Saarland University

確認したメールアドレス: cispa.saarland - ホームページ

Data Mining Machine Learning Causal Inference Information Theory


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Krimp: mining itemsets that compress J Vreeken, M Van Leeuwen, A Siebes Data Mining and Knowledge Discovery 23 (1), 169-214, 2011	329	2011
Intelligent traffic light control MA Wiering, J Veenen, J Vreeken, A Koopman Technical Report UU-CS, 2004	235	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	210	2012
Item sets that compress A Siebes, J Vreeken, M van Leeuwen SIAM Conference on Data Mining (SDM'06), 393-404, 2006	197	2006
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	183	2004
Spiking neural networks, an introduction J Vreeken Technical Report UU-CS, 1-5, 2003	169	2003
VOG: Summarizing and Understanding Large Graphs D Koutra, U Kang, J Vreeken, C Faloutsos SIAM International Conference on Data Mining (SDM), 2014	166*	2014
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	133	2011
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	121	2012
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	108	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	91	2016
Model order selection for boolean matrix factorization P Miettinen, J Vreeken Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	90	2011
SLIM: Directly mining descriptive patterns K Smets, J Vreeken Proceedings of the SIAM International Conference on Data Mining (SDM’12) 12, 2012	79	2012
Characterising the difference J Vreeken, M Van Leeuwen, A Siebes Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	77	2007
Compression picks item sets that matter M van Leeuwen, J Vreeken, A Siebes European Conference on Principles of Data Mining and Knowledge Discovery …, 2006	77	2006
The odd one out: Identifying and characterising anomalies K Smets, J Vreeken Proceedings of the SIAM International Conference on Data Mining (SDM’11), 2011	73	2011
MDL4BMF P Miettinen, J Vreeken	72*	2011
Summarizing data succinctly with the most informative itemsets M Mampaey, J Vreeken, N Tatti ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (4), 1-42, 2012	65	2012
MIME: a framework for interactive visual pattern mining B Goethals, S Moens, J Vreeken Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	63	2011
A Fresh Look on Knowledge Bases: Distilling Named Events from News E Kuzey, J Vreeken, G Weikum Conference on Information and Knowledge Management, 2013	58	2013

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