Ines Färber

Citeras av

	Alla	Sedan 2016
Citat	784	427
h-index	13	10
i10-index	13	10

120

20092010201120122013201420152016201720182019202020212 15 19 49 75 81 96 104 98 84 65 60 16

Offentlig åtkomst

Visa alla

2 artiklar

3 artiklar

tillgänglig

inte tillgänglig

Enligt krav från finansiärer

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 KrögerChristian-Albrechts-University KielVerifierad e-postadress på informatik.uni-kiel.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
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	135	2010
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	128	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	113	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
Spectral Subspace Clustering for Graphs with Feature Vectors S Günnemann, I Färber, S Raubach, T Seidl	56*
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	55	2011
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	44	2013
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	40	2009
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	35	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	29	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
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	19	2012
ASCLU: Alternative subspace clustering S Günnemann, I Färber, E Müller, T Seidl In MultiClust at KDD, 2010	18	2010
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

Systemet kan inte utföra åtgärden just nu. Försök igen senare.

Artiklar 1–19

Citat per år

Dubblettcitat

Sammanfogade citat

Lägg till medförfattareMedförfattare

Ladda upp PDF

Följ den här författaren

Citeras av

Medförfattare