Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. - Stephan Günnemann; Ines Färber; Brigitte Boden; Thomas Seidl 001 (ICDM, 2010)

Synthese von Subspace Clustering und Subgraph Mining zur Analyse von Graphen mit Knotenbeschriftungen. - Brigitte Boden (Informatiktage, 2010)

DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors. - Stephan Günnemann; Brigitte Boden; Thomas Seidl 001 (ECML/PKDD (1), 2011)

Tracing clusters in evolving graphs with node attributes. - Brigitte Boden; Stephan Günnemann; Thomas Seidl 001 (CIKM, 2012)

Mining coherent subgraphs in multi-layer graphs with edge labels. - Brigitte Boden; Stephan Günnemann; Holger Hoffmann; Thomas Seidl 001 (KDD, 2012)

CC-MR - Finding Connected Components in Huge Graphs with MapReduce. - Thomas Seidl 001; Brigitte Boden; Sergej Fries (ECML/PKDD (1), 2012)

Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types. - Stephan Günnemann; Brigitte Boden; Thomas Seidl 001 (SSDBM, 2012)

Finding density-based subspace clusters in graphs with feature vectors. - Stephan Günnemann; Brigitte Boden; Thomas Seidl 001 (Data Min. Knowl. Discov., 2012)

Clustering von Graphen mit Knotenbeschriftungen. - Brigitte Boden (Inform. Spektrum, 2012)

MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. - Thomas Seidl 001; Sergej Fries; Brigitte Boden (BTW, 2013)

Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform. - Brigitte Boden; Roman Haag; Thomas Seidl 001 (CIKM, 2013)

Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. - Stephan Günnemann; Brigitte Boden; Ines Färber; Thomas Seidl 001 (PAKDD (1), 2013)

RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs. - Brigitte Boden; Stephan Günnemann; Holger Hoffmann; Thomas Seidl 001 (SSDBM, 2013)

Combined clustering of graph and attribute data. - Brigitte Boden (Apprimus-Verlag, 2013)

PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce. - Sergej Fries; Brigitte Boden; Grzegorz Stepien; Thomas Seidl 001 (ICDE, 2014)

Density-Based Subspace Clustering in Heterogeneous Networks. - Brigitte Boden; Martin Ester; Thomas Seidl 001 (ECML/PKDD (1), 2014)

GAMer: a synthesis of subspace clustering and dense subgraph mining. - Stephan Günnemann; Ines Färber; Brigitte Boden; Thomas Seidl 001 (Knowl. Inf. Syst., 2014)

MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels. - Brigitte Boden; Stephan Günnemann; Holger Hoffmann; Thomas Seidl 001 (Knowl. Inf. Syst., 2017)

RCE: An Integration Environment for Engineering and Science. - Brigitte Boden; Jan Flink; Robert Mischke; Kathrin Schaffert; Alexander Weinert; Annika Wohlan; Andreas Schreiber 001 (CoRR, 2019)

Supporting the composition of domain-specific software via task-specific roles. - Brigitte Boden; Robert Mischke; Alexander Weinert; Andreas Schreiber 001 (Programming, 2020)

RCE: An Integration Environment for Engineering and Science. - Brigitte Boden; Jan Flink; Niklas Först; Robert Mischke; Kathrin Schaffert; Alexander Weinert; Annika Wohlan; Andreas Schreiber 001 (SoftwareX, 2021)

On the Development of a Collaborative Knowledge Platform for Engineering Sciences. - Jonas Jepsen; Arthur Zamfir; Brigitte Boden; Jacopo Zamboni; Erwin Moerland (KEOD, 2023)