Brigitte Boden

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 5

Top Venues

Knowl. Inf. Syst.

SoftwareX

CoRR

SSDBM

RWTH Aachen University (PHD)

Education History

RWTH Aachen University

PHD

Publications

Jonas Jepsen, Arthur Zamfir, Brigitte Boden, Jacopo Zamboni, Erwin Moerland
On the Development of a Collaborative Knowledge Platform for Engineering Sciences. KEOD (2023)
Brigitte Boden, Jan Flink, Niklas Först, Robert Mischke, Kathrin Schaffert, Alexander Weinert, Annika Wohlan, Andreas Schreiber
RCE: An Integration Environment for Engineering and Science. SoftwareX 15 (2021)
Brigitte Boden, Robert Mischke, Alexander Weinert, Andreas Schreiber
Supporting the composition of domain-specific software via task-specific roles. Programming (2020)
Brigitte Boden, Jan Flink, Robert Mischke, Kathrin Schaffert, Alexander Weinert, Annika Wohlan, Andreas Schreiber
RCE: An Integration Environment for Engineering and Science. CoRR (2019)
Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels. Knowl. Inf. Syst. 50 (2) (2017)
Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl
GAMer: a synthesis of subspace clustering and dense subgraph mining. Knowl. Inf. Syst. 40 (2) (2014)
Brigitte Boden, Martin Ester, Thomas Seidl
Density-Based Subspace Clustering in Heterogeneous Networks. ECML/PKDD (1) (2014)
Sergej Fries, Brigitte Boden, Grzegorz Stepien, Thomas Seidl
PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce. ICDE (2014)
Brigitte Boden, Roman Haag, Thomas Seidl
Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform. CIKM (2013)
Thomas Seidl, Sergej Fries, Brigitte Boden
MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. BTW (2013)
Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. PAKDD (1) (2013)
Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs. SSDBM (2013)
Stephan Günnemann, Brigitte Boden, Thomas Seidl
Finding density-based subspace clusters in graphs with feature vectors. Data Min. Knowl. Discov. 25 (2) (2012)
Stephan Günnemann, Brigitte Boden, Thomas Seidl
Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types. SSDBM (2012)
Thomas Seidl, Brigitte Boden, Sergej Fries
CC-MR - Finding Connected Components in Huge Graphs with MapReduce. ECML/PKDD (1) (2012)
Brigitte Boden, Stephan Günnemann, Thomas Seidl
Tracing clusters in evolving graphs with node attributes. CIKM (2012)
Brigitte Boden
Clustering von Graphen mit Knotenbeschriftungen. Inform. Spektrum 35 (3) (2012)
Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
Mining coherent subgraphs in multi-layer graphs with edge labels. KDD (2012)
Stephan Günnemann, Brigitte Boden, Thomas Seidl
DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors. ECML/PKDD (1) (2011)
Stephan Günnemann, Brigitte Boden, Thomas Seidl
Finding Density-Based Subspace Clusters in Graphs with Feature Vectors. LWA (2011)
Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. ICDM (2010)
Brigitte Boden
Synthese von Subspace Clustering und Subgraph Mining zur Analyse von Graphen mit Knotenbeschriftungen. Informatiktage (2010)

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Publication Activity (10 Years)

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Brigitte Boden