Emmanuel Müller

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Medförfattare

Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), GermanyVerifierad e-postadress på dbs.ifi.lmu.de
Ira AssentProfessor of Computer Science, Aarhus University, DenmarkVerifierad e-postadress på cs.au.dk
Stephan GünnemannProfessor of Computer Science, Technical University of MunichVerifierad e-postadress på in.tum.de
Davide MottinAssistant Professor, Department of Computer Science, Aarhus UniversityVerifierad e-postadress på cs.au.dk
Anton TsitsulinPhD student, b-it, University of BonnVerifierad e-postadress på bit.uni-bonn.de
Panagiotis KarrasAssociate Professor, Aarhus UniversityVerifierad e-postadress på cs.au.dk
Ines FärberData Management and Data ExplorationVerifierad e-postadress på cs.rwth-aachen.de
Jilles VreekenCISPA Helmholtz Center for Information Security; Professor, Saarland UniversityVerifierad e-postadress på cispa.saarland
Bart GoethalsProfessor of Computer Science, University of AntwerpVerifierad e-postadress på uantwerp.be
Alex BronsteinTechnion, Department of Computer ScienceVerifierad e-postadress på technion.ac.il
Bryan PerozziStony Brook UniversityVerifierad e-postadress på cs.stonybrook.edu
Leman AkogluAssociate Professor of Information Systems, Heinz College, Carnegie Mellon UniversityVerifierad e-postadress på andrew.cmu.edu
M. Emin AkşehirliUniversity of AntwerpVerifierad e-postadress på uantwerpen.be
Christoph QuixChristoph Quix is a senior researcher in the Life Science Informatics group at the FraunhoferVerifierad e-postadress på dbis.rwth-aachen.de
Arthur ZimekUniversity of Southern DenmarkVerifierad e-postadress på imada.sdu.dk
Philipp KranenMicrosoft ResearchVerifierad e-postadress på microsoft.com
Marwan HassaniAssistant Professor of Computer Science at TU/eVerifierad e-postadress på tue.nl
Arvind Kumar ShekarPhD student, Hasso-Plattner-InstitutVerifierad e-postadress på guest.hpi.de
Peer KrögerLudwig-Maximilians-Universität MünchenVerifierad e-postadress på dbs.ifi.lmu.de
Erich SchubertProfessor of Data Mining, TU Dortmund UniversityVerifierad e-postadress på cs.tu-dortmund.de

Emmanuel Müller

Professor of Computer Science, Technical University of Dortmund

Verifierad e-postadress på cs.tu-dortmund.de - Startsida

Data Mining Machine Learning Data Exploration Databases


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Evaluating clustering in subspace projections of high dimensional data E Müller, S Günnemann, I Assent, T Seidl Proceedings of the VLDB Endowment 2 (1), 1270-1281, 2009	315	2009
HiCS: High contrast subspaces for density-based outlier ranking F Keller, E Muller, K Bohm 2012 IEEE 28th international conference on data engineering, 1037-1048, 2012	277	2012
Deep one-class classification L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ... International conference on machine learning, 4393-4402, 2018	234	2018
Focused clustering and outlier detection in large attributed graphs B Perozzi, L Akoglu, P Iglesias Sánchez, E Müller Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	171	2014
DUSC: Dimensionality unbiased subspace clustering I Assent, R Krieger, E Müller, T Seidl seventh IEEE international conference on data mining (ICDM 2007), 409-414, 2007	152	2007
Statistical selection of relevant subspace projections for outlier ranking E Müller, M Schiffer, T Seidl 2011 IEEE 27th international conference on data engineering, 434-445, 2011	126	2011
On using class-labels in evaluation of clusterings I Färber, S Günnemann, HP Kriegel, P Kröger, E Müller, E Schubert, ... MultiClust: 1st international workshop on discovering, summarizing and using …, 2010	121	2010
INSCY: Indexing subspace clusters with in-process-removal of redundancy I Assent, R Krieger, E Müller, T Seidl 2008 Eighth IEEE International Conference on Data Mining, 719-724, 2008	115	2008
Verse: Versatile graph embeddings from similarity measures A Tsitsulin, D Mottin, P Karras, E Müller Proceedings of the 2018 World Wide Web Conference, 539-548, 2018	113	2018
Relevant subspace clustering: Mining the most interesting non-redundant concepts in high dimensional data E Müller, I Assent, S Günnemann, R Krieger, T Seidl 2009 Ninth IEEE International Conference on Data Mining, 377-386, 2009	84	2009
OutRank: ranking outliers in high dimensional data E Muller, I Assent, U Steinhausen, T Seidl 2008 IEEE 24th international conference on data engineering workshop, 600-603, 2008	81	2008
Ranking outlier nodes in subspaces of attributed graphs E Müller, PI Sánchez, Y Mülle, K Böhm 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW …, 2013	79	2013
Outlier ranking via subspace analysis in multiple views of the data E Müller, I Assent, P Iglesias, Y Mülle, K Böhm 2012 IEEE 12th international conference on data mining, 529-538, 2012	76	2012
Discovering multiple clustering solutions: Grouping objects in different views of the data E Muller, S Gunnemann, I Farber, T Seidl 2012 IEEE 28th International Conference on Data Engineering, 1207-1210, 2012	70	2012
VISA: visual subspace clustering analysis I Assent, R Krieger, E Müller, T Seidl ACM SIGKDD Explorations Newsletter 9 (2), 5-12, 2007	69	2007
External evaluation measures for subspace clustering S Günnemann, I Färber, E Müller, I Assent, T Seidl Proceedings of the 20th ACM international conference on Information and …, 2011	51	2011
Influence of contact pressure and moisture on the signal quality of a newly developed textile ECG sensor shirt S Kim, S Leonhardt, N Zimmermann, P Kranen, D Kensche, E Muller, ... 2008 5th international summer school and symposium on medical devices and …, 2008	51	2008
CMI: An information-theoretic contrast measure for enhancing subspace cluster and outlier detection HV Nguyen, E Müller, J Vreeken, F Keller, K Böhm Proceedings of the 2013 SIAM International Conference on Data Mining, 198-206, 2013	46	2013
DensEst: Density estimation for data mining in high dimensional spaces E Müller, I Assent, R Krieger, S Günnemann, T Seidl Proceedings of the 2009 SIAM international conference on data mining, 175-186, 2009	46	2009
Detection of orthogonal concepts in subspaces of high dimensional data S Günnemann, E Müller, I Färber, T Seidl Proceedings of the 18th ACM conference on Information and knowledge …, 2009	41	2009

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