Prof. Dr. Emmanuel Müller

Prof. Dr. Emmanuel Müller

Professor for Knowledge Discovery and Data Mining

Hasso Plattner Institute at University of Potsdam

E-Mail: emmanuel.mueller(at)hpi.de

Tel.: +49-(0)331 5509-280 (assistant)
Fax: +49-(0)331 5509-287
Office: E1-01.2 at HPI Campus II
Please contact office-mueller(at)hpi.de for appointments

Research Activity

Prof. Müller is head of the Knowledge Discovery and Data Mining Chair, a joint research group within Hasso Plattner Institute at the University of Potsdam and GFZ German Research Centre for Geosciences. Before, he was independent research group leader at the Karlsruhe Institute of Technology (2010-2015) and Postdoctoral Fellow at the University of Antwerp (2012-2015).  Müller received his Diploma (2007) and his PhD (2010) from RWTH Aachen University. As joint professor of GFZ with HPI, he is coordinating the first interdisciplinary Geo.X Research School on the topic of “Geo Data Science” and is actively involved in the Helmholtz strategy on “Information & Data Science”.

Research Focus

Efficient knowledge discovery in large and complex databases

  • Data Mining: High Dimensional Data, Stream Mining, Graph Mining
  • Statistics: Correlation Analysis in Multivariate, Dynamic, Heterogeneous Data
  • Database Systems: Indexing, Data Streams, Schema Discovery
  • Knowledge Discovery: Interactive Exploration, Description Mining, Causal Inference

Short CV

Research and Teaching Awards

  • 2015: Best Paper Award at the 27th International Conference on Scientific and Statistical Database Management for "Estimating Mutual Information on Data Streams" by Keller F., Müller E., Böhm K.
  • 2015: Two Teaching Awards by the computer science department of KIT,
    awarded for the lecture "Big Data Analytics" as Best Elective Lecture and as Best Tutorial
    (Winter 2014/15)
  • 2014: Teaching Award by the computer science department of KIT,
    awarded for the lecture “Indexing Structures” as Best Elective Lecture (Summer 2013)
  • 2014: KIT Associate Fellow by the computer science department and the president of KIT
  • 2013: Teaching Award by the computer science department of KIT,
    awarded for the Lab course “Data Warehousing und Mining” (SS 2012)
  • 2012: "Borchersplakette" for an excellent dissertation at RWTH Aachen University
  • 2008: "Springorum-Denkmünze" for an excellent diploma at RWTH Aachen University

Selected List of Publications

All publications are listed online [DBLP Bibliography] -- [ACM Digital Library] -- [Google Scholar]

  1. Fabian Keller, Emmanuel Müller, Klemens Böhm:
    Estimating mutual information on data streams.
    (Awarded Best Paper)
    In SSDBM 2015
  2. Thibault Sellam, Emmanuel Müller, Martin L. Kersten:
    Semi-Automated Exploration of Data Warehouses.
    In ACM CIKM 2015
  3. Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sánchez, Emmanuel Müller:
    Focused clustering and outlier detection in large attributed graphs.
    In ACM SIGKDD 2014
  4. Hoang Vu Nguyen, Emmanuel Müller, Klemens Böhm:
    A Near-Linear Time Subspace Search Scheme for Unsupervised Selection of Correlated Features.
    In Big Data Research Journal (1) 2014
  5. Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm:
    Unsupervised interaction-preserving discretization of multivariate data.
    In Data Mining and Knowledge Discovery Journal 28(5-6) 2014
  6. Patricia Iglesias Sánchez, Emmanuel Müller, Fabian Laforet, Fabian Keller, Klemens Böhm:
    Statistical Selection of Congruent Subspaces for Mining Attributed Graphs.
    In IEEE ICDM 2013
  7. Fabian Keller, Emmanuel Müller, Klemens Böhm:
    HiCS: High Contrast Subspaces for Density-Based Outlier Ranking.
    In IEEE ICDE 2012
  8. Emmanuel Müller, Matthias Schiffer, Thomas Seidl:
    Statistical selection of relevant subspace projections for outlier ranking.
    In IEEE ICDE 2011
  9. Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl:
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
    In SIAM SDM 2009
  10. Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl:
    Evaluating Clustering in Subspace Projections of High Dimensional Data.
    In PVLDB Journal 2(1) 2009