Publikationen

23 Ergebnisse

Tutorials

Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at the 30th International Conference on Machine Learning (ICML 2013), Atlanta, USA (2013)
[ICML 2013] [Tutorial Website]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), Kuala Lumpur, Malaysia (2012)
[PAKDD 2012] [Tutorial Website]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at IEEE 28th International Conference on Data Engineering (ICDE 2012), Washington, DC, USA (2012)
[ICDE 2012] [Tutorial Website]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at SIAM International Conference on Data Mining (SDM 2011), Mesa, Arizona, USA. (2011)
[SDM 2011] [Tutorial Website]
Müller E., Günnemann S., Färber I., Seidl T.:
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
Tutorial at IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia S.1220 (2010)
[ICDM 2010] [Tutorial Website]

Journal Articles (peer reviewed)

Günnemann S., Färber I., Kremer H., Seidl T.:
CoDA: Interactive Cluster Based Concept Discovery
Proceedings of the VLDB Endowment (PVLDB) 3(2): 1633-1636 (2010) S.1633-1636 (2010) (Demo)
[VLDB 2010]

Conference papers (peer reviewed)

Günnemann S., Färber I., Raubach S., Seidl T.:
Spectral Subspace Clustering for Graphs with Feature Vectors
Proc. IEEE International Conference on Data Mining (ICDM), Dallas, TX, USA S.231-240 (2013)
[ICDM 2013] [supplementary material]
Günnemann S., Boden B., Färber I., Seidl T.:
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors
Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), Gold Coast, Queensland, Australia S.261-275 (2013)
[Supplementary Material]
Tatu A., Maaß F., Färber I., Bertini E., Schreck T., Seidl T., Keim D. A.:
Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data
Proc. IEEE Symposium on Visual Analytics Science and Technology S.63-72 (2012)
[IEEE-VAST 2012]
Günnemann S., Färber I., Seidl T.:
Multi-View Clustering Using Mixture Models in Subspace Projections
Proc. of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2012), Beijing, China S.132-140 (2012)
[KDD 2012] [Supplementary material]
Günnemann S., Färber I., Virochsiri K., Seidl T.:
Subspace Correlation Clustering: Finding Locally Correlated Dimensions in Subspace Projections of the Data
Proc. of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2012), Beijing, China S.352-360 (2012)
[KDD 2012] [slides]
Böhm C., Färber I., Fries S., Korte U., Merkle J., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P.:
Efficient Database Techniques for Identification with Fuzzy Vault Templates
BIOSIG 2011 - Proceedings of the Special Interest Group on Biometrics and Electronic Signatures S.115-126 (2011)
[GI article]
Günnemann S., Färber I., Müller E., Assent I., Seidl T.:
External Evaluation Measures for Subspace Clustering
Proc. 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, UK S.1363-1372 (2011)
[CIKM 2011]
Böhm C., Färber I., Fries S., Korte U., Merkle J., Oswald A., Seidl T., Wackersreuther B., Wackersreuther P.:
Filtertechniken für geschützte biometrische Datenbanken
Proc. 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011), Kaiserslautern, Germany S.379-389 (2011)
[BTW 2011]
Günnemann S., Färber I., Boden B., Seidl T.:
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms
Proc. IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia S.845-850 (2010)
[ICDM 2010] [Supplementary material]
Färber I., Günnemann S., Kriegel H., Kröger P., Müller E., Schubert E., Seidl T., Zimek A.:
On Using Class-Labels in Evaluation of Clusterings
Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA (2010)
[MultiClust 2010] [Full Text PDF] [Talk Slides]
Günnemann S., Färber I., Müller E., Seidl T.:
ASCLU: Alternative Subspace Clustering
Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA (2010)
[MultiClust 2010] [Full Text PDF] [Talk Slides]
Günnemann S., Kremer H., Färber I., Seidl T.:
MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions
Proc. IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia S.1387-1390 (2010) (Demo)
[ICDM 2010]
Günnemann S., Müller E., Färber I., Seidl T.:
Detection of Orthogonal Concepts in Subspaces of High Dimensional Data
Proc. 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China S.1317-1326 (2009) (full paper acceptance rate 14.5%)
[CIKM 2009] [DOI: 10.1145/1645953.1646120]
Färber I.:
Mining orthogonaler Konzepte in hochdimensionalen Datenbanken
GI Informatiktage 27./28. März 2009 in Bonn S.153-156 (2009)
[Informatiktage]