Emmanuel Müller

发表

DUSC: Dimensionality Unbiased Subspace Clustering

Ira Assent, Ralph Krieger, Emmanuel Müller, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Subspace Search for Community Detection and Community Outlier Mining in Attributed Graphs

Emmanuel Müller, 2014, LWA.

Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data

Ira Assent, Ralph Krieger, Emmanuel Müller, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Discovering Overlapping Quantitative Associations by Density-Based Mining of Relevant Attributes

Bart Goethals, Emmanuel Müller, Thomas Van Brussel, 2016, FoIKS.

Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description

Emmanuel Müller, Leman Akoglu, Jilles Vreeken, 2013, KDD 2013.

Flexible and adaptive subspace search for outlier analysis

Klemens Böhm, Emmanuel Müller, Fabian Keller, 2013, CIKM.

Scalable density-based subspace clustering

Ira Assent, Emmanuel Müller, Thomas Seidl, 2011, CIKM '11.

Air-Indexing on Error Prone Communication Channels

Emmanuel Müller, Thomas Seidl, Felix Reidl, 2010, DASFAA.

Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification

Arvind Kumar Shekar, Emmanuel Müller, Marcus Pappik, 2018, DS.

Outlier detection and ranking based on subspace clustering

Ira Assent, Emmanuel Müller, Thomas Seidl, 2008, Uncertainty Management in Information Systems.

A Near-Linear Time Subspace Search Scheme for Unsupervised Selection of Correlated Features

Klemens Böhm, Emmanuel Müller, Hoang Vu Nguyen, 2014, Big Data Res..

GraBaSS - Graph-based Subspace Search

Klemens Böhm, Walter F. Tichy, Emmanuel Müller, 2013 .

Statistical Selection of Congruent Subspaces for Mining Attributed Graphs

Klemens Böhm, Emmanuel Müller, Fabian Keller, 2013, 2013 IEEE 13th International Conference on Data Mining.

Subspace outlier mining in large multimedia databases

Ira Assent, Ralph Krieger, Emmanuel Müller, 2007, Parallel Universes and Local Patterns.

Flexible Subspace Search for Outlier Detection and Description

Emmanuel Müller, 2013, LWA.

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data

Emmanuel Müller, Thomas Seidl, Stephan Günnemann, 2010, 2012 IEEE 28th International Conference on Data Engineering.

OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces

Klemens Böhm, Emmanuel Müller, Fabian Keller, 2012, ECML/PKDD.

CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection

Klemens Böhm, Emmanuel Müller, Jilles Vreeken, 2013, SDM.

Locality-Based Graph Clustering of Spatially Embedded Time Series

Emmanuel Müller, Bodo Bookhagen, Fabian Maschler, 2017, COMPLEX NETWORKS.

MediSign - Secure Pharmaceutic Distribution

Emmanuel Müller, Daniel Neider, Maximilian Möllers, 2006, Informatiktage.

EDSC: efficient density-based subspace clustering

Ira Assent, Ralph Krieger, Emmanuel Müller, 2008, CIKM '08.

Statistical selection of relevant subspace projections for outlier ranking

Emmanuel Müller, Thomas Seidl, Matthias Schiffer, 2011, 2011 IEEE 27th International Conference on Data Engineering.

3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012

Arthur Zimek, Emmanuel Müller, Thomas Seidl, 2012, MultiClust@SDM.

Two-Sample Testing for Event Impacts in Time Series

Emmanuel Müller, Erik Scharwächter, 2020, SDM.

Incremental Learning of Medical Data for Multi-Step Patient Health Classification

Ira Assent, Ralph Krieger, Emmanuel Müller, 2010 .

Adaptive outlierness for subspace outlier ranking

Emmanuel Müller, Thomas Seidl, Matthias Schiffer, 2010, CIKM '10.

Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed Graphs

Klemens Böhm, Emmanuel Müller, Dorothea Wagner, 2015, SDM.

EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2009, SensorKDD '09.

Unsupervised interaction-preserving discretization of multivariate data

Klemens Böhm, Emmanuel Müller, Jilles Vreeken, 2014, Data Mining and Knowledge Discovery.

HiCS: High Contrast Subspaces for Density-Based Outlier Ranking

Klemens Böhm, Emmanuel Müller, Fabian Keller, 2012, 2012 IEEE 28th International Conference on Data Engineering.

INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy

Ira Assent, Ralph Krieger, Emmanuel Müller, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Deep Semi-Supervised Anomaly Detection pdf

Alexander Binder, Emmanuel Müller, Marius Kloft, 2019, ICLR.

Notable Characteristics Search through Knowledge Graphs

Emmanuel Müller, Davide Mottin, Bastian Grasnick, 2018, EDBT.

Less is More: Non-Redundant Subspace Clustering

Ira Assent, Ralph Krieger, Emmanuel Müller, 2010 .

HSM: Heterogeneous Subspace Mining in High Dimensional Data

Ira Assent, Emmanuel Müller, Thomas Seidl, 2009, SSDBM.

Mobile Mining and Information Management in HealthNet Scenarios

Matthias Jarke, Steffen Leonhardt, Emmanuel Müller, 2008, The Ninth International Conference on Mobile Data Management (mdm 2008).

Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation

Martin Hofmann-Apitius, Heinz-Theodor Mevissen, Ira Assent, 2008, BMC Bioinformatics.

Outlier Ranking via Subspace Analysis in Multiple Views of the Data

Klemens Böhm, Ira Assent, Emmanuel Müller, 2012, 2012 IEEE 12th International Conference on Data Mining.

Deep One-Class Classification

Alexander Binder, Emmanuel Müller, Shoaib Ahmed Siddiqui, 2018, ICML.

Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data

Bart Goethals, Emmanuel Müller, Jilles Vreeken, 2013, 2013 IEEE 13th International Conference on Data Mining.

Pleiades: Subspace Clustering and Evaluation

Ira Assent, Ralph Krieger, Emmanuel Müller, 2008, ECML/PKDD.

Ranking outlier nodes in subspaces of attributed graphs

Klemens Böhm, Emmanuel Müller, Patricia Iglesias Sánchez, 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).

Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

4S: Scalable subspace search scheme overcoming traditional Apriori processing

Klemens Böhm, Emmanuel Müller, Hoang Vu Nguyen, 2013, 2013 IEEE International Conference on Big Data.

Improving Accuracy and Robustness of Self-Tuning Histograms by Subspace Clustering

Klemens Böhm, Emmanuel Müller, Andranik Khachatryan, 2015, IEEE Transactions on Knowledge and Data Engineering.

Data Analysis Challenges in the Future Energy Domain

Emmanuel Müller, Harald Vogt, Frank Eichinger, 2013, IDA 2013.

DensEst: Density Estimation for Data Mining in High Dimensional Spaces

Ira Assent, Ralph Krieger, Emmanuel Müller, 2009, SDM.

Sensitivity of Self-tuning Histograms: Query Order Affecting Accuracy and Robustness

Klemens Böhm, Emmanuel Müller, Andranik Khachatryan, 2012, SSDBM.

Efficient Cluster Detection by Ordered Neighborhoods

Bart Goethals, Emmanuel Müller, Emin Aksehirli, 2015, DaWaK.

MultiClust special issue on discovering, summarizing and using multiple clusterings

Ira Assent, Emmanuel Müller, Thomas Seidl, 2014, Machine Learning.

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data

Emmanuel Müller, Thomas Seidl, Stephan Günnemann, 2012, ICDE.

Graph Clustering with Graph Neural Networks pdf

Emmanuel Müller, Bryan Perozzi, John Palowitch, 2020, ArXiv.

Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds

Emmanuel Müller, Fabian Geier, Erik Scharwächter, 2018, PAKDD.

Framework for Exploring and Understanding Multivariate Correlations

Julius Kunze, Louis Kirsch, Arvind Kumar Shekar, 2017, ECML/PKDD.

The Shape of Data: Intrinsic Distance for Data Distributions

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2020, ICLR.

Improving Accuracy and Robustness of Self-Tuning Histograms by Subspace Clustering

Klemens Böhm, Emmanuel Müller, Andranik Khachatryan, 2015, IEEE Trans. Knowl. Data Eng..

OpenSubspace: An Open Source Framework for Evaluation and Exploration of Subspace Clustering Algorithms in WEKA

Ira Assent, Emmanuel Müller, Stephan Günnemann, 2009 .

Flexible Fault Tolerant Subspace Clustering for Data with Missing Values

Emmanuel Müller, Thomas Seidl, Stephan Günnemann, 2011, 2011 IEEE 11th International Conference on Data Mining.

SGR: Self-Supervised Spectral Graph Representation Learning pdf

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2018, ArXiv.

FREDE: Linear-Space Anytime Graph Embeddings pdf

Emmanuel Müller, Panagiotis Karras, Ivan V. Oseledets, 2020, ArXiv.

SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces

Emmanuel Müller, Thomas Seidl, Matthias Schiffer, 2009, Datenbank-Spektrum.

Intrinsic Multi-scale Evaluation of Generative Models pdf

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2019, ArXiv.

OutRank: ranking outliers in high dimensional data

Ira Assent, Emmanuel Müller, Thomas Seidl, 2008, 2008 IEEE 24th International Conference on Data Engineering Workshop.

Mining Frequently Co-occurring Object Sets over Multiple Neighborhoods

Bart Goethals, Emmanuel Müller, Jilles Vreeken, 2013 .

Diverse Selection of Feature Subsets for Ensemble Regression

Arvind Kumar Shekar, Emmanuel Müller, Patricia Iglesias Sánchez, 2017, DaWaK.

Differentiable Segmentation of Sequences pdf

Emmanuel Müller, Erik Scharwächter, Jonathan Lennartz, 2020, ICLR.

Morpheus: interactive exploration of subspace clustering

Ira Assent, Ralph Krieger, Emmanuel Müller, 2008, KDD.

Efficient knowledge discovery in subspaces of high dimensional databases

Emmanuel Müller, 2010 .

External evaluation measures for subspace clustering

Ira Assent, Emmanuel Müller, Thomas Seidl, 2011, CIKM '11.

Detection of orthogonal concepts in subspaces of high dimensional data

Emmanuel Müller, Thomas Seidl, Stephan Günnemann, 2009, CIKM.

SOREX: Subspace Outlier Ranking Exploration Toolkit

Emmanuel Müller, Thomas Seidl, Matthias Hannen, 2010, ECML/PKDD.

VISA: visual subspace clustering analysis

Ira Assent, Ralph Krieger, Emmanuel Müller, 2007, SKDD.

Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket

Danai Koutra, Emmanuel Müller, Tara Safavi, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Local context selection for outlier ranking in graphs with multiple numeric node attributes

Klemens Böhm, Emmanuel Müller, Patricia Iglesias Sánchez, 2014, SSDBM '14.

Semi-Automated Exploration of Data Warehouses

Martin L. Kersten, Emmanuel Müller, Thibault Sellam, 2015, CIKM.

Identifying User Interests within the Data Space - a Case Study with SkyServer

Klemens Böhm, Emmanuel Müller, Florian Becker, 2015, EDBT.

Spectral Graph Complexity

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2019, WWW.

Evaluating Clustering in Subspace Projections of High Dimensional Data

Ira Assent, Emmanuel Müller, Thomas Seidl, 2009, Proc. VLDB Endow..

NetLSD: Hearing the Shape of a Graph

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2018, KDD.

MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs

Emmanuel Müller, Martin Preusse, Davide Mottin, 2018, WWW.

Subspace Clustering für die Analyse von CGH Daten

Emmanuel Müller, 2007, BTW Studierendenprogramm.

Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets

Arvind Kumar Shekar, Emmanuel Müller, Patricia Iglesias Sánchez, 2017, ECML/PKDD.

Klemens Böhm, Emmanuel Müller, Hoang Vu Nguyen, 2014, SSDBM '14.

Graph Exploration: From Users to Large Graphs

Emmanuel Müller, Davide Mottin, 2017, SIGMOD Conference.

Estimating mutual information on data streams

Klemens Böhm, Emmanuel Müller, Fabian Keller, 2015, SSDBM.

Multivariate Maximal Correlation Analysis

Klemens Böhm, Emmanuel Müller, Jilles Vreeken, 2014, ICML.

Efficient Selectivity Estimation by Histogram Construction Based on Subspace Clustering

Klemens Böhm, Emmanuel Müller, Andranik Khachatryan, 2011, SSDBM.

Erratum to: Unsupervised interaction-preserving discretization of multivariate data

Klemens Böhm, Emmanuel Müller, Jilles Vreeken, 2014, Data Mining and Knowledge Discovery.

Focused clustering and outlier detection in large attributed graphs

Emmanuel Müller, Leman Akoglu, Bryan Perozzi, 2014, KDD.

Proceedings of OSDM 2009

Ira Assent, Emmanuel Müller, Thomas Seidl, 2009 .

Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging

Emmanuel Müller, Georgia Koutrika, Panagiotis Karras, 2019, KDD.

A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases

Ira Assent, Emmanuel Müller, Thomas Seidl, 2011, BTW.

VERSE: Versatile Graph Embeddings from Similarity Measures

Emmanuel Müller, Panagiotis Karras, Davide Mottin, 2018, WWW.

FREDE: Anytime Graph Embeddings

Emmanuel Müller, Panagiotis Karras, Ivan V. Oseledets, 2021, Proceedings of the VLDB Endowment.

Mining Subspace Clusters : Enhanced Models , Efficient Algorithms and an Objective Evaluation Study

Emmanuel Müller, 2010 .

Self-Organizing Energy Aware Clustering of Nodes in Sensor Networks Using Relevant Attributes

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2010 .