Publikationen

14 Ergebnisse
Sort by: Jahr | Publikationstypen

2013

Boden B., Günnemann S., Hoffmann H., Seidl T.:
RMiCS: A Robust Approach for Mining Coherent Subgraphs in Edge-Labeled Multi-Layer Graphs
Proc. of the 25th International Conference on Scientific and Statistical Database Management (SSDBM 2013), Baltimore, Maryland, USA (2013)
[SSDBM 2013]
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 (2013)
Seidl T., Fries S., Boden B.:
MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce
15. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2013), Magdeburg, Germany (2013)

2012

Boden B., Günnemann S., Seidl T.:
Tracing Clusters in Evolving Graphs with Node Attributes
Proceedings of The 21st ACM Conference on Information and Knowledge Management (CIKM 2012), Maui, USA  (2012) (poster presentation)
Seidl T., Boden B., Fries S.:
CC-MR - Finding Connected Components in Huge Graphs with MapReduce
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012), Bristol, UK (2012)
Boden B.:
Efficient Combined Clustering of Graph and Attribute Data
PhD Workshop of the 38th International Conference on Very Large Data Bases (VLDB 2012), Istanbul (2012)
[VLDB 2012]
Günnemann S., Boden B., Seidl T.:
Finding Density-Based Subspace Clusters in Graphs with Feature Vectors
Data Mining and Knowledge Discovery Journal (DMKD), Vol. 25, Nr. 2 S.243-269 (2012)
Boden B., Günnemann S., Hoffmann H., Seidl T.:
Mining Coherent Subgraphs in Multi-Layer Graphs with Edge Labels
Proc. of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2012), Beijing, China (2012)
[KDD 2012]
Günnemann S., Boden B., Seidl T.:
Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types
Proc. of the 24th International Conference on Scientific and Statistical Database Management (SSDBM 2012), Chania, Greece (2012)
[SSDBM 2012]

2011

Günnemann S., Boden B., Seidl T.:
DB-CSC: A density-based approach for subspace clustering in graphs with feature vectors
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011), Athens, Greece S.565-580 (2011) ECML PKDD 2011 Best Paper Award in Data Mining
[ECML PKDD 2011] [Full Text PDF]

2010

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]