| 2010 | PAKDD | Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. | Philipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl |
| 2009 | EDBT | Indexing density models for incremental learning and anytime classification on data streams. | Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, Jennifer Herrmann |
| 2009 | ICDM | Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. | Emmanuel Mller, Ira Assent, Stephan Gnnemann, Ralph Krieger, Thomas Seidl |
| 2009 | SDM | DensEst: Density Estimation for Data Mining in High Dimensional Spaces. | Emmanuel Mller, Ira Assent, Ralph Krieger, Stephan Gnnemann, Thomas Seidl |
| 2008 | CIKM | EDSC: efficient density-based subspace clustering. | Ira Assent, Ralph Krieger, Emmanuel Mller, Thomas Seidl |
| 2008 | EDBT | The TS-tree: efficient time series search and retrieval. | Ira Assent, Ralph Krieger, Farzad Afschari, Thomas Seidl |
| 2008 | ICDM | INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. | Ira Assent, Ralph Krieger, Emmanuel Mller, Thomas Seidl |
| 2008 | KDD | Morpheus: interactive exploration of subspace clustering. | Emmanuel Mller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl |
| 2008 | PAKDD | SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. | Ira Assent, Ralph Krieger, Petra Welter, Jrg Herbers, Thomas Seidl |
| 2007 | ICDE | AttentionAttractor: efficient video stream similarity query processing in real time. | Ira Assent, Ralph Krieger, Thomas Seidl |
| 2007 | ICDM | DUSC: Dimensionality Unbiased Subspace Clustering. | Ira Assent, Ralph Krieger, Emmanuel Mller, Thomas Seidl |
| 2006 | ICDM | Spatial Multidimensional Sequence Clustering. | Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl |