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Medförfattare

Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), GermanyVerifierad e-postadress på dbs.ifi.lmu.de
Stephan GünnemannProfessor of Computer Science, Technical University of MunichVerifierad e-postadress på in.tum.de
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerifierad e-postadress på cs.tu-dortmund.de
Erich SchubertProfessor of Data Mining, TU Dortmund UniversityVerifierad e-postadress på cs.tu-dortmund.de
Arthur ZimekUniversity of Southern DenmarkVerifierad e-postadress på imada.sdu.dk
Peer KrögerLudwig-Maximilians-Universität MünchenVerifierad e-postadress på dbs.ifi.lmu.de
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerifierad e-postadress på dbs.ifi.lmu.de
Enrico BertiniNYU Tandon School of EngineeringVerifierad e-postadress på nyu.edu
Andrada TatuPostDoc, Computer Science, University of Konstanz, GermanyVerifierad e-postadress på uni-konstanz.de
Daniel KeimProfessor of Computer Science, Data Analysis and Visualization, University of KonstanzVerifierad e-postadress på uni-konstanz.de
Fabian MaaßUniversity of Konstanz, GermanyVerifierad e-postadress på uni-konstanz.de
Hardy KremerDeloitte Analytics Institute, GermanyVerifierad e-postadress på deloitte.de
Christian BöhmProfessor for Computer Science, Ludwig-Maximilians-Universität München (LMU, University of Munich)Verifierad e-postadress på dbs.ifi.lmu.de
Annahita OswaldLudwig-Maximilians-Universität Munich, GermanyVerifierad e-postadress på dbs.ifi.lmu.de
Christoph BuschProfessor for Biometrics, Norwegian University of Science and Technology (NTNU)Verifierad e-postadress på ntnu.no

Ines Färber

Data Management and Data Exploration

Verifierad e-postadress på cs.rwth-aachen.de - Startsida

Data Mining


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Subspace clustering meets dense subgraph mining: A synthesis of two paradigms S Gunnemann, I Farber, B Boden, T Seidl Data Mining (ICDM), 2010 IEEE 10th International Conference on, 845-850, 2010	121	2010
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
Subspace search and visualization to make sense of alternative clusterings in high-dimensional data A Tatu, F Maas, I Farber, E Bertini, T Schreck, T Seidl, D Keim Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on, 63-72, 2012	107	2012
Discovering multiple clustering solutions: Grouping objects in different views of the data E Muller, S Gunnemann, I Farber, T Seidl Data Engineering (ICDE), 2012 IEEE 28th International Conference on, 1207-1210, 2012	70	2012
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
Spectral Subspace Clustering for Graphs with Feature Vectors S Günnemann, I Färber, S Raubach, T Seidl	50*
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
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors S Günnemann, B Boden, I Färber, T Seidl Advances in Knowledge Discovery and Data Mining, 261-275, 2013	40	2013
GAMer: a synthesis of subspace clustering and dense subgraph mining S Günnemann, I Färber, B Boden, T Seidl Knowledge and Information Systems, 1-36, 2013	33	2013
Multi-view clustering using mixture models in subspace projections S Günnemann, I Färber, T Seidl Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	28	2012
SMVC: semi-supervised multi-view clustering in subspace projections S Günnemann, I Färber, M Rüdiger, T Seidl Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	19	2014
ASCLU: Alternative subspace clustering S Günnemann, I Färber, E Müller, T Seidl In MultiClust at KDD, 2010	18	2010
Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data S Günnemann, I Färber, K Virochsiri, T Seidl Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	16	2012
CoDA: Interactive cluster based concept discovery S Günnemann, I Färber, H Kremer, T Seidl Proceedings of the VLDB Endowment 3 (1-2), 1633-1636, 2010	9	2010
Efficient Database Techniques for Identification with Fuzzy Vault Templates. C Böhm, I Färber, S Fries, U Korte, J Merkle, A Oswald, T Seidl, ... BIOSIG, 115-126, 2011	6	2011
MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions S Gunnemann, H Kremer, I Farber, T Seidl Data Mining Workshops (ICDMW), 2010 IEEE International Conference on, 1387-1390, 2010	5	2010
Biometric Template Protection C Busch, U Korte, S Abt, C Böhm, I Färber, S Fries, J Merkle, C Nickel, ... Datenschutz und Datensicherheit-DuD 35 (3), 183-191, 2011	3	2011
Mining orthogonaler Konzepte in hochdimensionalen Datenbanken. I Färber, DIE Müller, DIS Günnemann Informatiktage, 153-156, 2009		2009
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors—Complexity Proofs— S Günnemann, B Boden, I Färber, T Seidl

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