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Stephan Günnemann Coauthor index pubzone.org

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DBLP keys2012
24Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl: Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. PAKDD (1) 2012: 444-455
23Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl: Tracing Evolving Subspace Clusters in Temporal Climate Data. Data Min. Knowl. Discov. 24(2): 387-410 (2012)
2011
22no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmmanuel Müller, Ira Assent, Stephan Günnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl: A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. BTW 2011: 347-366
21Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl: Scalable density-based subspace clustering. CIKM 2011: 1077-1086
20Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl: External evaluation measures for subspace clustering. CIKM 2011: 1363-1372
19Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Brigitte Boden, Thomas Seidl: DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors. ECML/PKDD (1) 2011: 565-580
18Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Hardy Kremer, Dominik Lenhard, Thomas Seidl: Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations. EDBT 2011: 237-248
17Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl: Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. ICDM 2011: 231-240
16Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl: Tracing Evolving Clusters by Subspace and Value Similarity. PAKDD (2) 2011: 444-456
15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHardy Kremer, Stephan Günnemann, Anca Maria Ivanescu, Ira Assent, Thomas Seidl: Efficient Processing of Multiple DTW Queries in Time Series Databases. SSDBM 2011: 150-167
2010
14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIra Assent, Hardy Kremer, Stephan Günnemann, Thomas Seidl: Pattern detector: fast detection of suspicious stream patterns for immediate reaction. EDBT 2010: 709-712
13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl: Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDM 2010: 1220
12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl: Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. ICDM 2010: 845-850
11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Hardy Kremer, Ines Färber, Thomas Seidl: MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. ICDM Workshops 2010: 1387-1390
10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHardy Kremer, Stephan Günnemann, Thomas Seidl: Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques. ICDM Workshops 2010: 96-97
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Thomas Seidl: Subgraph Mining on Directed and Weighted Graphs. PAKDD (2) 2010: 133-146
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Hardy Kremer, Thomas Seidl: Subspace Clustering for Uncertain Data. SDM 2010: 385-396
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPhilipp Kranen, Stephan Günnemann, Sergej Fries, Thomas Seidl: MC-Tree: Improving Bayesian Anytime Classification. SSDBM 2010: 252-269
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Ines Färber, Hardy Kremer, Thomas Seidl: CoDA: Interactive Cluster Based Concept Discovery. PVLDB 3(2): 1633-1636 (2010)
2009
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIra Assent, Stephan Günnemann, Hardy Kremer, Thomas Seidl: High-Dimensional Indexing for Multimedia Features. BTW 2009: 187-206
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLStephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl: Detection of orthogonal concepts in subspaces of high dimensional data. CIKM 2009: 1317-1326
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmmanuel Müller, Ira Assent, Stephan Günnemann, Ralph Krieger, Thomas Seidl: Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. ICDM 2009: 377-386
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl: DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM 2009: 173-184
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl: Evaluating Clustering in Subspace Projections of High Dimensional Data. PVLDB 2(1): 1270-1281 (2009)

Coauthor Index

1Ira Assent [1] [2] [3] [5] [14] [15] [20] [21] [22]
2Brigitte Boden [12] [19]
3Ines Färber [4] [6] [11] [12] [13] [20]
4Sergej Fries [7]
5Patrick Gerwert [22]
6Matthias Hannen [22]
7Arne Held [24]
8Anca Maria Ivanescu [15]
9Timm Jansen [22]
10Philipp Kranen [7]
11Hardy Kremer [5] [6] [8] [10] [11] [14] [15] [16] [18] [23] [24]
12Ralph Krieger [2] [3]
13Charlotte Laufkötter [16] [23]
14Dominik Lenhard [18]
15Emmanuel Müller [1] [2] [3] [4] [13] [17] [20] [21] [22]
16Sebastian Raubach [17]
17Thomas Seidl [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24]

Last update Wed May 30 22:34:44 2012 CET by the DBLP TeamThis material is Open Data Data released under the ODC-BY 1.0 license — See also our legal information page