| 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 | 174 | 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 | 151 | 2012 |
| 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 | 149 | 2010 |
| 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 | 92 | 2012 |
| Spectral Subspace Clustering for Graphs with Feature Vectors S Günnemann, I Färber, S Raubach, T Seidl | 77* | |
| 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 | 63 | 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 | 52 | 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 | 43 | 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 | 41 | 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 | 31 | 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 | 30 | 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 | 28 | 2012 |
| ASCLU: Alternative subspace clustering S Günnemann, I Färber, E Müller, T Seidl In MultiClust at KDD, 2010 | 19 | 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 | 12 | 2010 |
| 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 | 8 | 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 |
| 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 | | |
Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), MCML, GermanyVerified email at dbs.ifi.lmu.de
