Ines Färber

RWTH Aachen University — Germany

Computer Science · Physical Sciences

13h-index711citations23works0.02yr avg
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Research Topics

Advanced Clustering Algorithms Research(15), Data Management and Algorithms(7), Complex Network Analysis Techniques(6), Face and Expression Recognition(5), Data Mining Algorithms and Applications(4)

Publications23 total

Visual Quality Assessment of Subspace Clusterings
KOPS (University of Konstanz)·2016· 4 citedOpen Access
Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion
Lecture notes in computer science·2015· 8 cited
Alternative clustering in subspace projections
RWTH Publications (RWTH Aachen)·2015Open Access
SMVC
2014· 21 cited
Machining Intelligence Network: Data Mining and Semantic Search in Manufacturing Industry
Cognitive technologies·2014
Spectral Subspace Clustering for Graphs with Feature Vectors
2013· 58 cited
GAMer: a synthesis of subspace clustering and dense subgraph mining
Knowledge and Information Systems·2013· 33 cited
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors
Lecture notes in computer science·2013· 49 cited
Subspace search and visualization to make sense of alternative clusterings in high-dimensional data
2012· 90 cited
Multi-view clustering using mixture models in subspace projections
2012· 27 cited
Subspace correlation clustering
2012· 15 cited
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
2012· 64 cited
External evaluation measures for subspace clustering
2011· 44 cited
Biometric Template Protection
Datenschutz und Datensicherheit - DuD·2011· 5 cited
Efficient database techniques for identification with fuzzy vault templates
RWTH Publications (RWTH Aachen)·2011· 3 cited
Filtertechniken für geschützte biometrische Datenbanken.
RWTH Publications (RWTH Aachen)·2011· 2 cited
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
2010· 26 cited
MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions
2010· 7 cited
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms
2010· 110 cited
CoDA
Proceedings of the VLDB Endowment·2010· 7 cited
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Frequent Co-authors

Thomas Seidl(22), Stephan Günnemann(14), Emmanuel Müller(5), Sergej Fries(4), Brigitte Boden(3), Tobias Schreck(3), Daniel A. Keim(3), Ulrike Korte(3), Christian Böhm(3), Johannes Merkle(3), Annahita Oswald(3), Bianca Wackersreuther(3), Peter Wackersreuther(3), Andrada Tatu(2), Ira Assent(2), Michael Hund(2), Michael Behrisch(2), Hardy Kremer(2), Hans‐Peter Kriegel(1), Peer Kröger(1)