Emmanuel Müller

Fabian Keller, Emmanuel Müller, Klemens Böhm: HiCS: High Contrast Subspaces for Density-Based Outlier Ranking. ICDE 2012: 1037-1048

Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl: Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDE 2012: 1207-1210

Emmanuel Müller, Ira Assent, Patricia Iglesias, Yvonne Mülle, Klemens Böhm: Outlier Ranking via Subspace Analysis in Multiple Views of the Data. ICDM 2012: 529-538

Emmanuel Müller, Fabian Keller, Sebastian Blanc, Klemens Böhm: OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces. ECML/PKDD (2) 2012: 828-832

Andranik Khachatryan, Emmanuel Müller, Christian Stier, Klemens Böhm: Sensitivity of Self-tuning Histograms: Query Order Affecting Accuracy and Robustness. SSDBM 2012: 334-342

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

Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl: Scalable density-based subspace clustering. CIKM 2011: 1077-1086

Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl: External evaluation measures for subspace clustering. CIKM 2011: 1363-1372

Emmanuel Müller, Matthias Schiffer, Thomas Seidl: Statistical selection of relevant subspace projections for outlier ranking. ICDE 2011: 434-445

Stephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl: Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. ICDM 2011: 231-240

Andranik Khachatryan, Emmanuel Müller, Klemens Böhm, Jonida Kopper: Efficient Selectivity Estimation by Histogram Construction Based on Subspace Clustering. SSDBM 2011: 351-368

Emmanuel Müller, Matthias Schiffer, Thomas Seidl: Adaptive outlierness for subspace outlier ranking. CIKM 2010: 1629-1632

Emmanuel Müller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl: Air-Indexing on Error Prone Communication Channels. DASFAA (1) 2010: 505-519

Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl: Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDM 2010: 1220

Emmanuel Müller, Matthias Schiffer, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl: SOREX: Subspace Outlier Ranking Exploration Toolkit. ECML/PKDD (3) 2010: 607-610

Matthias Schiffer, Emmanuel Müller, Thomas Seidl: SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces. Datenbank-Spektrum 29: 53-55 (2009)

Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl: Evaluating Clustering in Subspace Projections of High Dimensional Data. PVLDB 2(1): 1270-1281 (2009)

Stephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl: Detection of orthogonal concepts in subspaces of high dimensional data. CIKM 2009: 1317-1326

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

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

Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl: DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM 2009: 173-184

Emmanuel Müller, Ira Assent, Thomas Seidl: HSM: Heterogeneous Subspace Mining in High Dimensional Data. SSDBM 2009: 497-516

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)

Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: EDSC: efficient density-based subspace clustering. CIKM 2008: 1093-1102

Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl: OutRank: ranking outliers in high dimensional data. ICDE Workshops 2008: 600-603

Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. ICDM 2008: 719-724

Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl: Morpheus: interactive exploration of subspace clustering. KDD 2008: 1089-1092

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

Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl: Pleiades: Subspace Clustering and Evaluation. ECML/PKDD (2) 2008: 666-671

Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: VISA: visual subspace clustering analysis. SIGKDD Explorations 9(2): 5-12 (2007)

Emmanuel Müller: Subspace Clustering für die Analyse von CGH Daten. BTW Studierendenprogramm 2007: 31-33

Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: Subspace outlier mining in large multimedia databases. Parallel Universes and Local Patterns 2007

Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl: DUSC: Dimensionality Unbiased Subspace Clustering. ICDM 2007: 409-414

Maximilian Möllers, Emmanuel Müller, Daniel Neider, Leszek Seweryn: MediSign - Secure Pharmaceutic Distribution. Informatiktage 2006: 113-115