Thomas Seidl

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Ira AssentProfessor of Computer Science, Aarhus University, Denmark; IAS-8, Forschungszentrum JülichDirección de correo verificada de cs.au.dk
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichDirección de correo verificada de dbs.ifi.lmu.de
Stephan GünnemannProfessor of Computer Science, Technical University of MunichDirección de correo verificada de in.tum.de
Christian BeecksProfessor of Computer Science, University of Hagen, GermanyDirección de correo verificada de fernuni-hagen.de
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundDirección de correo verificada de cs.tu-dortmund.de
Philipp KranenMicrosoft ResearchDirección de correo verificada de microsoft.com
Hardy KremerDeloitte Analytics Institute, GermanyDirección de correo verificada de deloitte.de
Marwan HassaniAssistant Professor of Computer Science at Eindhoven University of TechnologyDirección de correo verificada de tue.nl
Ines FärberData Management and Data ExplorationDirección de correo verificada de cs.rwth-aachen.de
Merih Seran UysalDr.-Ing, Process and Data Science Chair, RWTH Aachen UniversityDirección de correo verificada de cs.rwth-aachen.de
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzDirección de correo verificada de uni-konstanz.de
Albert BifetTélécom ParisTech & University of WaikatoDirección de correo verificada de telecom-paristech.fr
Bernhard PfahringerProfessor of Computer Science, University of WaikatoDirección de correo verificada de waikato.ac.nz
Peer KrögerChristian-Albrechts-University KielDirección de correo verificada de informatik.uni-kiel.de
Geoffrey HolmesUniversity of WaikatoDirección de correo verificada de waikato.ac.nz
Florian RichterLMU MunichDirección de correo verificada de dbs.ifi.lmu.de
Daniyal KazempourPostdoc, CAU KielDirección de correo verificada de informatik.uni-kiel.de
Anna BeerPostdoc, Aarhus UniversityDirección de correo verificada de cs.au.dk
Gabi KastenmüllerHelmholtz Zentrum München - German Research Center for Environmental HealthDirección de correo verificada de helmholtz-muenchen.de
Thomas M. Deserno, geb. LehmannPLRI, TU BraunschweigDirección de correo verificada de tu-bs.de

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Thomas Seidl

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

Dirección de correo verificada de dbs.ifi.lmu.de - Página principal

Databases Data Mining Clustering Similarity Search


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2068	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	853	1999
Optimal multi-step k-nearest neighbor search T Seidl, HP Kriegel Proceedings of the 1998 ACM SIGMOD international conference on Management of …, 1998	709	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	355	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	313	2011
Efficient user-adaptable similarity search in large multimedia databases T Seidl, HP Kriegel VLDB 97, 506-515, 1997	258	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	209	1999
Managing intervals efficiently in object-relational databases HP Kriegel, M Pötke, T Seidl VLDB 20 (0), 0, 2000	179	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	164	2011
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	162	2007
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	161	2010
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	150	2012
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	150	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	145	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	139	2005
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	135	2012
Signature quadratic form distance C Beecks, MS Uysal, T Seidl Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010	134	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	126	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	126	2008

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