Brigitte Boden

Martin Ester

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

Combined clustering of graph and attribute data.

[BibT_eX]

[DOI]

PhD thesis, 2013

RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs.

[BibT_eX]

[DOI]

Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform.

[BibT_eX]

[DOI]

Roman Haag

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce.

[BibT_eX]

[DOI]

Sergej Fries

Proceedings of the Datenbanksysteme für Business, 2013

2012

Clustering von Graphen mit Knotenbeschriftungen.

[BibT_eX]

[DOI]

Inform. Spektrum, 2012

Finding density-based subspace clusters in graphs with feature vectors.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2012

Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types.

[BibT_eX]

[DOI]

Proceedings of the Scientific and Statistical Database Management, 2012

CC-MR - Finding Connected Components in Huge Graphs with MapReduce.

[BibT_eX]

[DOI]

Sergej Fries

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Mining coherent subgraphs in multi-layer graphs with edge labels.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Tracing clusters in evolving graphs with node attributes.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Synthese von Subspace Clustering und Subgraph Mining zur Analyse von Graphen mit Knotenbeschriftungen.

[BibT_eX]