Brigitte Boden

23 papers A* 3A 2B 2C 1Misc 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2023 C conf
On the Development of a Collaborative Knowledge Platform for Engineering Sciences.
KEOD
Jonas Jepsen, Arthur Zamfir, Brigitte Boden, Jacopo Zamboni, Erwin Moerland
2021 J jnl
RCE: An Integration Environment for Engineering and Science.
SoftwareX
Brigitte Boden, Jan Flink, Niklas Först, Robert Mischke, Kathrin Schaffert, Alexander Weinert, Annika Wohlan, Andreas Schreiber
2020 — conf
Supporting the composition of domain-specific software via task-specific roles.
Programming
Brigitte Boden, Robert Mischke, Alexander Weinert, Andreas Schreiber
2019 J jnl
RCE: An Integration Environment for Engineering and Science.
CoRR
Brigitte Boden, Jan Flink, Robert Mischke, Kathrin Schaffert, Alexander Weinert, Annika Wohlan, Andreas Schreiber
2017 J jnl
MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels.
Knowl. Inf. Syst.
Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
2014 — conf
Density-Based Subspace Clustering in Heterogeneous Networks.
ECML/PKDD (1)
Brigitte Boden, Martin Ester, Thomas Seidl
2014 J jnl
GAMer: a synthesis of subspace clustering and dense subgraph mining.
Knowl. Inf. Syst.
Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl
2014 A* conf
PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce.
ICDE
Sergej Fries, Brigitte Boden, Grzegorz Stepien, Thomas Seidl
2013 — —
Combined clustering of graph and attribute data.
Brigitte Boden
2013 A conf
Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform.
CIKM
Brigitte Boden, Roman Haag, Thomas Seidl
2013 — conf
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors.
PAKDD (1)
Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl
2013 Misc conf
MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce.
BTW
Thomas Seidl, Sergej Fries, Brigitte Boden
2013 B conf
RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs.
SSDBM
Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
2012 — conf
CC-MR - Finding Connected Components in Huge Graphs with MapReduce.
ECML/PKDD (1)
Thomas Seidl, Brigitte Boden, Sergej Fries
2012 J jnl
Clustering von Graphen mit Knotenbeschriftungen.
Inform. Spektrum
Brigitte Boden
2012 J jnl
Finding density-based subspace clusters in graphs with feature vectors.
Data Min. Knowl. Discov.
Stephan Günnemann, Brigitte Boden, Thomas Seidl
2012 A* conf
Mining coherent subgraphs in multi-layer graphs with edge labels.
KDD
Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
2012 B conf
Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types.
SSDBM
Stephan Günnemann, Brigitte Boden, Thomas Seidl
2012 A conf
Tracing clusters in evolving graphs with node attributes.
CIKM
Brigitte Boden, Stephan Günnemann, Thomas Seidl
2011 — conf
DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors.
ECML/PKDD (1)
Stephan Günnemann, Brigitte Boden, Thomas Seidl
2011 — conf
Finding Density-Based Subspace Clusters in Graphs with Feature Vectors.
LWA
Stephan Günnemann, Brigitte Boden, Thomas Seidl
2010 A* conf
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms.
ICDM
Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl
2010 — conf
Synthese von Subspace Clustering und Subgraph Mining zur Analyse von Graphen mit Knotenbeschriftungen.
Informatiktage
Brigitte Boden