Thomas Seidl

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	All	Since 2016
Citations	10973	4356
h-index	48	30
i10-index	146	83

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Co-authors

Ira AssentProfessor of Computer Science, Aarhus University, DenmarkVerified email at cs.au.dk
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Stephan GünnemannProfessor of Computer Science, Technical University of MunichVerified email at in.tum.de
Christian BeecksProfessor of Computer Science, University of Münster, GermanyVerified email at uni-muenster.de
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerified email at cs.tu-dortmund.de
Philipp KranenMicrosoft ResearchVerified email at microsoft.com
Hardy KremerDeloitte Analytics Institute, GermanyVerified email at deloitte.de
Marwan HassaniAssistant Professor of Computer Science at TU/eVerified email at tue.nl
Ines FärberData Management and Data ExplorationVerified email at cs.rwth-aachen.de
Merih Seran UysalDr.-Ing, Process and Data Science Chair, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzVerified email at uni-konstanz.de
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Peer KrögerChristian-Albrechts-University KielVerified email at dbs.ifi.lmu.de
Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
Daniyal KazempourPhD Student, LMU MunichVerified email at dbs.ifi.lmu.de
Gabi KastenmüllerHelmholtz Zentrum München - German Research Center for Environmental HealthVerified email at helmholtz-muenchen.de
Thomas M. Deserno, geb. LehmannPLRI, TU BraunschweigVerified email at tu-bs.de
Christoph QuixChristoph Quix is a senior researcher in the Life Science Informatics group at the FraunhoferVerified email at dbis.rwth-aachen.de
Matthias JarkeProfessor of Information Systems, RWTH Aachen UniversityVerified email at dbis.rwth-aachen.de

Thomas Seidl

Professor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), Germany

Verified email at dbs.ifi.lmu.de - Homepage

Databases Data Mining Clustering Similarity Search


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MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering A Bifet, G Holmes, B Pfahringer, P Kranen, H Kremer, T Jansen, T Seidl JMLR Proceedings of Machine Learning Research 11 (WAPA), 44-50, 2010	1624	2010
3D shape histograms for similarity search and classification in spatial databases M Ankerst, G Kastenmüller, HP Kriegel, T Seidl International symposium on spatial databases, 207-226, 1999	834	1999
Optimal multi-step k-nearest neighbor search T Seidl, HP Kriegel Proceedings of the 1998 ACM SIGMOD international conference on Management of …, 1998	658	1998
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	330	2009
The ClusTree: indexing micro-clusters for anytime stream mining P Kranen, I Assent, C Baldauf, T Seidl Knowledge and information systems 29 (2), 249-272, 2011	263	2011
Efficient user-adaptable similarity search in large multimedia databases T Seidl, HP Kriegel VLDB 97, 506-515, 1997	238	1997
Fast nearest neighbor search in high-dimensional space S Berchtold, B Ertl, DA Keim, HP Kriegel, T Seidl Proceedings 14th International Conference on Data Engineering, 209-218, 1998	223	1998
Nearest neighbor classification in 3D protein databases. M Ankerst, G Kastenmüller, HP Kriegel, T Seidl ISMB 99, 34-43, 1999	197	1999
Managing intervals efficiently in object-relational databases HP Kriegel, M Pötke, T Seidl VLDB 20 (0), 0, 2000	166	2000
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	157	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	138	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	133	2010
Clicks: An effective algorithm for mining subspace clusters in categorical datasets MJ Zaki, M Peters, I Assent, T Seidl Data & Knowledge Engineering 60 (1), 51-70, 2007	130	2007
Subspace clustering meets dense subgraph mining: A synthesis of two paradigms S Günnemann, I Färber, B Boden, T Seidl 2010 IEEE international conference on data mining, 845-850, 2010	128	2010
Signature quadratic form distance C Beecks, MS Uysal, T Seidl Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010	128	2010
Data provenance: A Categorization of existing approaches B Glavic, KR Dittrich, A Kemper, H Schöning, T Rose, M Jarke, T Seidl, ... BTW'07: Datenbanksysteme in Buisness, Technologie und Web, 227-241, 2007	127	2007
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	122	2008
Mining coherent subgraphs in multi-layer graphs with edge labels B Boden, S Günnemann, H Hoffmann, T Seidl Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	115	2012
Subspace search and visualization to make sense of alternative clusterings in high-dimensional data A Tatu, F Maaß, I Färber, E Bertini, T Schreck, T Seidl, D Keim 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), 63-72, 2012	114	2012
Efficient similarity search for hierarchical data in large databases K Kailing, HP Kriegel, S Schönauer, T Seidl International Conference on Extending Database Technology, 676-693, 2004	102	2004

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