Ines Färber
Ines Färber
Data Management and Data Exploration
Bestätigte E-Mail-Adresse bei cs.rwth-aachen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1362010
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
1302010
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
1132012
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
702012
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
552011
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
442013
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
402009
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
352013
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
292012
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
192014
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
192012
ASCLU: Alternative subspace clustering
S Günnemann, I Färber, E Müller, T Seidl
In MultiClust at KDD, 2010
182010
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
92010
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
62011
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
52010
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
32011
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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