Ines Färber - RankMe

21 papers A* 7A 2B 1Misc 1Journal 3Unranked 5

Year	Rank	Type	Title / Venue / Authors
2015	—	`—`	Alternative clustering in subspace projections. Ines Färber
2015	B	`conf`	Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. SISAP Michael Hund, Michael Behrisch, Ines Färber, Michael Sedlmair, Tobias Schreck, Thomas Seidl, Daniel A. Keim
2014	J	`jnl`	GAMer: a synthesis of subspace clustering and dense subgraph mining. Knowl. Inf. Syst. Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl
2014	—	`ch.`	Machining Intelligence Network: Data Mining and Semantic Search in Manufacturing Industry. Towards the Internet of Services Ines Färber, Sergej Fries, Götz Marczinski, Thomas Seidl, Nils-Per Steinmann
2014	A*	`conf`	SMVC: semi-supervised multi-view clustering in subspace projections. KDD Stephan Günnemann, Ines Färber, Matthias Sebastian Rüdiger, Thomas Seidl
2013	—	`conf`	Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. PAKDD (1) Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl
2013	A*	`conf`	Spectral Subspace Clustering for Graphs with Feature Vectors. ICDM Stephan Günnemann, Ines Färber, Sebastian Raubach, Thomas Seidl
2012	A*	`conf`	Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDE Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl
2012	A*	`conf`	Multi-view clustering using mixture models in subspace projections. KDD Stephan Günnemann, Ines Färber, Thomas Seidl
2012	A*	`conf`	Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. KDD Stephan Günnemann, Ines Färber, Kittipat Virochsiri, Thomas Seidl
2012	—	`conf`	Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. IEEE VAST Andrada Tatu, Fabian Maass, Ines Färber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim
2011	J	`jnl`	Biometric Template Protection - Ein Bericht über das Projekt BioKeyS. Datenschutz und Datensicherheit Christoph Busch, Ulrike Korte, Sebastian Abt, Christian Böhm, Ines Färber, Sergej Fries, Johannes Merkle, Claudia Nickel, Alexander Nouak, Alexander Opel, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther, Xuebing Zhou
2011	—	`conf`	Efficient Database Techniques for Identification with Fuzzy Vault Templates. BIOSIG Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther
2011	A	`conf`	External evaluation measures for subspace clustering. CIKM Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl
2011	Misc	`conf`	Filtertechniken für geschützte biometrische Datenbanken. BTW Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther
2010	J	`jnl`	CoDA: Interactive Cluster Based Concept Discovery. Proc. VLDB Endow. Stephan Günnemann, Ines Färber, Hardy Kremer, Thomas Seidl
2010	A*	`conf`	Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDM Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl
2010	—	`conf`	MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. ICDM Workshops Stephan Günnemann, Hardy Kremer, Ines Färber, Thomas Seidl
2010	A*	`conf`	Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. ICDM Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl
2009	A	`conf`	Detection of orthogonal concepts in subspaces of high dimensional data. CIKM Stephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl
2009	—	`conf`	Mining orthogonaler Konzepte in hochdimensionalen Datenbanken. Informatiktage Ines Färber