Thomas Seidl 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	13390	3999
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Ira AssentProfessor of Computer Science, Aarhus University, Denmark; IAS-8, Forschungszentrum Jülich在 cs.au.dk 的电子邮件经过验证
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University Munich在 dbs.ifi.lmu.de 的电子邮件经过验证
Stephan GünnemannProfessor of Computer Science, Technical University of Munich在 in.tum.de 的电子邮件经过验证
Emmanuel MüllerProfessor of Computer Science, Technical University of Dortmund在 cs.tu-dortmund.de 的电子邮件经过验证
Christian BeecksProfessor of Computer Science, University of Hagen, Germany || Fraunhofer FIT在 fernuni-hagen.de 的电子邮件经过验证
Philipp KranenMicrosoft Research在 microsoft.com 的电子邮件经过验证
Hardy KremerDeloitte Analytics Institute, Germany在 deloitte.de 的电子邮件经过验证
Marwan HassaniAssistant Professor of Computer Science at Eindhoven University of Technology在 tue.nl 的电子邮件经过验证
Ines FärberData Management and Data Exploration在 cs.rwth-aachen.de 的电子邮件经过验证
Merih Seran UysalDr.-Ing, Process and Data Science Chair, RWTH Aachen University在 cs.rwth-aachen.de 的电子邮件经过验证
Albert BifetTélécom ParisTech & University of Waikato在 telecom-paristech.fr 的电子邮件经过验证
Bernhard PfahringerProfessor of Computer Science, University of Waikato在 waikato.ac.nz 的电子邮件经过验证
Geoffrey HolmesUniversity of Waikato在 waikato.ac.nz 的电子邮件经过验证
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of Konstanz在 uni-konstanz.de 的电子邮件经过验证
Peer KrögerChristian-Albrechts-University Kiel在 informatik.uni-kiel.de 的电子邮件经过验证
Florian RichterLMU Munich在 dbs.ifi.lmu.de 的电子邮件经过验证
Daniyal KazempourPostdoc, CAU Kiel在 informatik.uni-kiel.de 的电子邮件经过验证
Anna BeerPostdoc, University of Vienna在 univie.ac.at 的电子邮件经过验证
Gabi KastenmüllerHelmholtz Zentrum München - German Research Center for Environmental Health在 helmholtz-muenchen.de 的电子邮件经过验证
Yifeng LuLMU Munich在 dbs.ifi.lmu.de 的电子邮件经过验证

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Thomas Seidl

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

在 dbs.ifi.lmu.de 的电子邮件经过验证 - 首页

Databases Data Mining Clustering Similarity Search


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	2253	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	880	1999
Optimal multi-step k-nearest neighbor search T Seidl, HP Kriegel Proceedings of the 1998 ACM SIGMOD international conference on Management of …, 1998	726	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	363	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	347	2011
Efficient user-adaptable similarity search in large multimedia databases T Seidl, HP Kriegel VLDB 97, 506-515, 1997	265	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	182	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	176	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	170	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	159	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	149	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	140	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	139	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	133	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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