Thomas Seidl

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Ira AssentProfessor of Computer Science, Aarhus University, Denmark; IAS-8, Forschungszentrum JülichVerified 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
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerified email at cs.tu-dortmund.de
Christian BeecksProfessor of Computer Science, University of Hagen || Fraunhofer FITVerified email at fernuni-hagen.de
Philipp KranenMicrosoft ResearchVerified email at microsoft.com
Hardy KremerDeloitte Analytics Institute, GermanyVerified email at deloitte.de
Marwan HassaniAssistant Professor of Computer Science at Eindhoven University of TechnologyVerified 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
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
Peer KrögerChristian-Albrechts-University KielVerified email at informatik.uni-kiel.de
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzVerified email at uni-konstanz.de
Anna BeerPostdoc, University of ViennaVerified email at univie.ac.at
Florian RichterLMU MunichVerified email at dbs.ifi.lmu.de
Daniyal KazempourPostdoc, CAU KielVerified email at informatik.uni-kiel.de
Gabi KastenmüllerHelmholtz Zentrum München - German Research Center for Environmental HealthVerified email at helmholtz-muenchen.de
Yifeng LuLMU MunichVerified email at dbs.ifi.lmu.de

Thomas Seidl

Professor of Computer Science, LMU Munich, Munich Center for Machine Learning (MCML)

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	2321	2010
3D shape histograms for similarity search and classification in spatial databases M Ankerst, G Kastenmüller, HP Kriegel, T Seidl Advances in Spatial Databases: 6th International Symposium, SSD’99 Hong Kong …, 1999	887	1999
Optimal multi-step k-nearest neighbor search T Seidl, HP Kriegel Proceedings of the 1998 ACM SIGMOD international conference on Management of …, 1998	730	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	366	2009
The clustree: indexing micro-clusters for anytime stream mining P Kranen, I Assent, C Baldauf, T Seidl Knowledge and information systems 29, 249-272, 2011	353	2011
Efficient user-adaptable similarity search in large multimedia databases T Seidl, HP Kriegel VLDB 97, 506-515, 1997	267	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	242	1998
Nearest neighbor classification in 3D protein databases. M Ankerst, G Kastenmüller, HP Kriegel, T Seidl ISMB 99, 34-43, 1999	212	1999
Managing intervals efficiently in object-relational databases HP Kriegel, M Pötke, T Seidl VLDB 20 (0), 0, 2000	184	2000
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	179	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	173	2010
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	168	2007
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	165	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	152	2012
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	149	2010
Clicks: An effective algorithm for mining subspace clusters in categorical datasets MJ Zaki, M Peters, I Assent, T Seidl Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	144	2005
An effective evaluation measure for clustering on evolving data streams H Kremer, P Kranen, T Jansen, T Seidl, A Bifet, G Holmes, B Pfahringer Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	140	2011
Signature quadratic form distance C Beecks, MS Uysal, T Seidl Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010	137	2010
Anyout: Anytime outlier detection on streaming data I Assent, P Kranen, C Baldauf, T Seidl Database Systems for Advanced Applications: 17th International Conference …, 2012	135	2012
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	132	2008

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