Detection of orthogonal concepts in subspaces of high dimensional data. - Stephan Günnemann; Emmanuel Müller; Ines Färber; Thomas Seidl 001 (CIKM, 2009)

Mining orthogonaler Konzepte in hochdimensionalen Datenbanken. - Ines Färber (Informatiktage, 2009)

Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. - Stephan Günnemann; Ines Färber; Brigitte Boden; Thomas Seidl 001 (ICDM, 2010)

MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. - Stephan Günnemann; Hardy Kremer; Ines Färber; Thomas Seidl 001 (ICDM Workshops, 2010)

CoDA: Interactive Cluster Based Concept Discovery. - Stephan Günnemann; Ines Färber; Hardy Kremer; Thomas Seidl 001 (Proc. VLDB Endow., 2010)

Efficient Database Techniques for Identification with Fuzzy Vault Templates. - Christian Böhm 001; Ines Färber; Sergej Fries; Ulrike Korte; Johannes Merkle; Annahita Oswald; Thomas Seidl 001; Bianca Wackersreuther; Peter Wackersreuther (BIOSIG, 2011)

Filtertechniken für geschützte biometrische Datenbanken. - Christian Böhm 001; Ines Färber; Sergej Fries; Ulrike Korte; Johannes Merkle; Annahita Oswald; Thomas Seidl 001; Bianca Wackersreuther; Peter Wackersreuther (BTW, 2011)

External evaluation measures for subspace clustering. - Stephan Günnemann; Ines Färber; Emmanuel Müller; Ira Assent; Thomas Seidl 001 (CIKM, 2011)

Biometric Template Protection - Ein Bericht über das Projekt BioKeyS. - Christoph Busch 001; Ulrike Korte; Sebastian Abt; Christian Böhm 001; Ines Färber; Sergej Fries; Johannes Merkle; Claudia Nickel; Alexander Nouak; Alexander Opel; Annahita Oswald; Thomas Seidl 001; et al. (Datenschutz und Datensicherheit, 2011)

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. - Emmanuel Müller; Stephan Günnemann; Ines Färber; Thomas Seidl 001 (ICDE, 2012)

Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. - Andrada Tatu; Fabian Maass; Ines Färber; Enrico Bertini; Tobias Schreck; Thomas Seidl 001; Daniel A. Keim (IEEE VAST, 2012)

Multi-view clustering using mixture models in subspace projections. - Stephan Günnemann; Ines Färber; Thomas Seidl 001 (KDD, 2012)

Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. - Stephan Günnemann; Ines Färber; Kittipat Virochsiri; Thomas Seidl 001 (KDD, 2012)

Spectral Subspace Clustering for Graphs with Feature Vectors. - Stephan Günnemann; Ines Färber; Sebastian Raubach; Thomas Seidl 001 (ICDM, 2013)

Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. - Stephan Günnemann; Brigitte Boden; Ines Färber; Thomas Seidl 001 (PAKDD (1), 2013)

SMVC: semi-supervised multi-view clustering in subspace projections. - Stephan Günnemann; Ines Färber; Matthias Sebastian Rüdiger; Thomas Seidl 001 (KDD, 2014)

GAMer: a synthesis of subspace clustering and dense subgraph mining. - Stephan Günnemann; Ines Färber; Brigitte Boden; Thomas Seidl 001 (Knowl. Inf. Syst., 2014)

Machining Intelligence Network: Data Mining and Semantic Search in Manufacturing Industry. - Ines Färber; Sergej Fries; Götz Marczinski; Thomas Seidl 001; Nils-Per Steinmann (Towards the Internet of Services, 2014)

Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. - Michael Hund; Michael Behrisch 001; Ines Färber; Michael Sedlmair; Tobias Schreck; Thomas Seidl 001; Daniel A. Keim (SISAP, 2015)

Alternative clustering in subspace projections. - Ines Färber (Apprimus Verlag, 2015)