| 2023 | IC3K | On the Development of a Collaborative Knowledge Platform for Engineering Sciences. | Jonas Jepsen, Arthur Zamfir, Brigitte Boden, Jacopo Zamboni, Erwin Moerland |
| 2014 | ICDE | PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce. | Sergej Fries, Brigitte Boden, Grzegorz Stepien, Thomas Seidl |
| 2013 | BTW | MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. | Thomas Seidl, Sergej Fries, Brigitte Boden |
| 2013 | CIKM | Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform. | Brigitte Boden, Roman Haag, Thomas Seidl |
| 2013 | PAKDD | Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. | Stephan Gnnemann, Brigitte Boden, Ines Frber, Thomas Seidl |
| 2013 | SSDBM | RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs. | Brigitte Boden, Stephan Gnnemann, Holger Hoffmann, Thomas Seidl |
| 2012 | CIKM | Tracing clusters in evolving graphs with node attributes. | Brigitte Boden, Stephan Gnnemann, Thomas Seidl |
| 2012 | KDD | Mining coherent subgraphs in multi-layer graphs with edge labels. | Brigitte Boden, Stephan Gnnemann, Holger Hoffmann, Thomas Seidl |
| 2012 | SSDBM | Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types. | Stephan Gnnemann, Brigitte Boden, Thomas Seidl |
| 2010 | ICDM | Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. | Stephan Gnnemann, Ines Frber, Brigitte Boden, Thomas Seidl |