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Emmanuel Müller
2010 – today
- 2013
[c32]Emmanuel Müller, Patricia Iglesias Sanchez, Yvonne Mülle, Klemens Böhm: Ranking outlier nodes in subspaces of attributed graphs. ICDE Workshops 2013: 216-222- [c31]Klemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken: CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. SDM 2013: 198-206
- 2012
- [c30]Fabian Keller, Emmanuel Müller, Klemens Böhm: HiCS: High Contrast Subspaces for Density-Based Outlier Ranking. ICDE 2012: 1037-1048
- [c29]Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl: Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDE 2012: 1207-1210
- [c28]Emmanuel Müller, Ira Assent, Patricia Iglesias Sanchez, Yvonne Mülle, Klemens Böhm: Outlier Ranking via Subspace Analysis in Multiple Views of the Data. ICDM 2012: 529-538
- [c27]Emmanuel Müller, Fabian Keller, Sebastian Blanc, Klemens Böhm: OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces. ECML/PKDD (2) 2012: 828-832
- [c26]Andranik Khachatryan, Emmanuel Müller, Christian Stier, Klemens Böhm: Sensitivity of Self-tuning Histograms: Query Order Affecting Accuracy and Robustness. SSDBM 2012: 334-342
- 2011
- [c25]Emmanuel 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
- [c24]Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl: Scalable density-based subspace clustering. CIKM 2011: 1077-1086
- [c23]Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl: External evaluation measures for subspace clustering. CIKM 2011: 1363-1372
- [c22]Emmanuel Müller, Matthias Schiffer, Thomas Seidl: Statistical selection of relevant subspace projections for outlier ranking. ICDE 2011: 434-445
- [c21]Stephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl: Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. ICDM 2011: 231-240
- [c20]Andranik Khachatryan, Emmanuel Müller, Klemens Böhm, Jonida Kopper: Efficient Selectivity Estimation by Histogram Construction Based on Subspace Clustering. SSDBM 2011: 351-368
- [e1]Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl (Eds.): Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, Athens, Greece, September 5, 2011, in conjunction with ECML/PKDD 2011. CEUR Workshop Proceedings 772, CEUR-WS.org 2011
- 2010
- [c19]Emmanuel Müller, Matthias Schiffer, Thomas Seidl: Adaptive outlierness for subspace outlier ranking. CIKM 2010: 1629-1632
- [c18]Emmanuel Müller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl: Air-Indexing on Error Prone Communication Channels. DASFAA (1) 2010: 505-519
- [c17]Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl: Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDM 2010: 1220
- [c16]Emmanuel Müller, Matthias Schiffer, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl: SOREX: Subspace Outlier Ranking Exploration Toolkit. ECML/PKDD (3) 2010: 607-610
2000 – 2009
- 2009
- [j4]Matthias Schiffer, Emmanuel Müller, Thomas Seidl: SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces. Datenbank-Spektrum 29: 53-55 (2009)
- [j3]Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl: Evaluating Clustering in Subspace Projections of High Dimensional Data. PVLDB 2(1): 1270-1281 (2009)
- [c15]Stephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl: Detection of orthogonal concepts in subspaces of high dimensional data. CIKM 2009: 1317-1326
- [c14]Emmanuel 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
- [c13]Marwan Hassani, Emmanuel Müller, Thomas Seidl: EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 39-48
- [c12]Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl: DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM 2009: 173-184
- [c11]Emmanuel Müller, Ira Assent, Thomas Seidl: HSM: Heterogeneous Subspace Mining in High Dimensional Data. SSDBM 2009: 497-516
- 2008
- [j2]David Ruau, Corinna Kolárik, Heinz-Theodor Mevissen, Emmanuel Müller, Ira Assent, Ralph Krieger, Thomas Seidl, Martin Hofmann-Apitius, Martin Zenke: Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation. BMC Bioinformatics 9(S-10) (2008)
- [c10]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: EDSC: efficient density-based subspace clustering. CIKM 2008: 1093-1102
- [c9]Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl: OutRank: ranking outliers in high dimensional data. ICDE Workshops 2008: 600-603
- [c8]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. ICDM 2008: 719-724
- [c7]Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl: Morpheus: interactive exploration of subspace clustering. KDD 2008: 1089-1092
- [c6]Philipp Kranen, David Kensche, Saim Kim, Nadine Zimmermann, Emmanuel Müller, Christoph Quix, Xiang Li, Thomas Gries, Thomas Seidl, Matthias Jarke, Steffen Leonhardt: Mobile Mining and Information Management in HealthNet Scenarios. MDM 2008: 215-216
- [c5]Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl: Pleiades: Subspace Clustering and Evaluation. ECML/PKDD (2) 2008: 666-671
- 2007
- [j1]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: VISA: visual subspace clustering analysis. SIGKDD Explorations 9(2): 5-12 (2007)
- [c4]Emmanuel Müller: Subspace Clustering für die Analyse von CGH Daten. BTW Studierendenprogramm 2007: 31-33
- [c3]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: Subspace outlier mining in large multimedia databases. Parallel Universes and Local Patterns 2007
- [c2]Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: DUSC: Dimensionality Unbiased Subspace Clustering. ICDM 2007: 409-414
- 2006
- [c1]Maximilian Möllers, Emmanuel Müller, Daniel Neider, Leszek Seweryn: MediSign - Secure Pharmaceutic Distribution. Informatiktage 2006: 113-115
Coauthor Index
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last updated on 2013-10-02 11:22 CEST by the dblp team