Dr. rer. nat. Stephan Günnemann

Research associate
Email:sguennem@cs.cmu.edu
Website:http://www.cs.cmu.edu/~sguennem/
Publications: 51 entries

I have moved to Carnegie Mellon University, School of Computer Science as a PostDoc. My new personal website is available here.

 

Research Focus: 

  • Graph Mining
  • Subspace Clustering
  • Data Mining in high dimensional databases

 

Tutorials at international conferences, invited talks:

  • [PAKDD 2012] Tutorial "Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data", at the Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kuala Lumpur, Malaysia (May/June 2012)
  • [ICDE 2012] Tutorial "Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data", at the IEEE International Conference on Data Engineering, Washington, DC, USA (April 2012)
  • [SDM 2011] Tutorial "Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data", at the SIAM International Conference on Data Mining, Mesa, Arizona, USA (April 2011)
  • [ICDM 2010] Tutorial "Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data", at the IEEE International Conference on Data Mining, Sydney, Australia (December 2010)
  • Slides of our tutorial are available here.
  • Invited Talk "Subspace Clustering: Introduction and Advanced Models", at the University of Antwerp, Belgium (April 2011)
  • Invited Talk "Subspace Clustering: Recent Challenges and Future Directions", at the Simon Fraser University, Vancouver, Canada (June 2011)

 

Organization and Editorships:

  • [MultiClust at MLj] Guest Editor for the Machine Learning journal. Special issue "MultiClust: Discovering, Summarizing and Using Multiple Clusterings"
  • [MultiClust 2011] "2nd MultiClust Workshop on Discovering, Summarizing and Using Multiple Clusterings" held in conjunction with ECML PKDD 2011, Athens, Greece 5-9 Sep. 2011

 

Open Source Project for Subspace Clustering:

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

http://dme.rwth-aachen.de/OpenSubspace/

 

Teaching:

  • Lecturer of the courses
    • Exploring High-dimensional Data: Advanced Mining Techniques, SS 2012
    • Exploring Temporal and Graph Data: Mining & Retrieval, WS 2011/2012
  • Exercises and assistance for the courses
    • Advanced Data Mining Algorithms, SS 2010
    • Data Intensive Computing, WS 2009/10
    • Data Analysis and Data Visualization, WS 2009/2010
    • Algorithms and Data Structures, SS 2009
    • Models of Data Exploration, WS 2008/09
  • Regularly supervision of seminar theses and practical courses

 

Reviewing service:

  • Program committee member:
    • SIGMOD 2013
      ACM SIGMOD International Conference on Management of Data
    • CIKM 2012
      ACM International Conference on Information and Knowledge Management
    • ECML PKDD 2012
      European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
    • MultiClust 2011 (chair), 2012
      Workshop on Discovering, Summarizing and Using Multiple Clusterings
  • International Journals:
    • VLDBJ (The VLDB Journal)
    • DAMI (Data Mining and Knowledge Discovery Journal)
    • DKE (Data & Knowledge Engineering Journal)
    • TKDE (IEEE Transactions on Knowledge and Data Engineering)
  • External reviewer at international conferences:
    • KDD 2009, 2010, 2011, 2012
      Knowledge Discovery and Data Mining
    • SDM 2010, 2011
      SIAM International Conference on Data Mining
    • PAKDD 2012
      Pacific-Asia Conference on Knowledge Discovery and Data Mining
    • ICDE 2009, 2010, 2013
      IEEE International Conference on Data Engineering
    • EDBT 2009, 2010, 2011
      International Conference on Extending Database Technology
    • SSDBM 2010
      Statistical and Scientific Database Management
    • MDM 2012
      IEEE International Conference on Mobile Data Management

 

Supervised Bachelor, Master and Diploma Thesis

  • Holger Hoffmann (with Brigitte Boden)
  • Sebastian Raubach (MA; with Ines Färber)
  • Patrick Gerwert (with Ines Färber)
  • Matthias Hannen (with Ines Färber)
  • Rubaiyat Sadat (with Brigitte Boden)
  • Kittipat Virochsiri (with Ines Färber)
  • Sascha Thiesies (with Sergej Fries)
  • Simon Wollwage (with Hardy Kremer)
  • David Kesselheim (with Anca Ivanescu and Hardy Kremer)
  • Thomas Mausbach (with Ines Färber and Hardy Kremer)
  • Arne Held (with Hardy Kremer)
  • Sebastian Raubach (BA; with Emmanuel Müller)
  • Jens Peveling
  • Brigitte Boden
  • Charlotte Laufkötter (with Hardy Kremer)
  • Dominik Lenhard (with Hardy Kremer)
  • Ines Färber (with Emmanuel Müller)
  • Sergej Fries (with Philipp Kranen)

 

Research Background:

  • Visiting researcher at the Simon Fraser University, Vancouver, Canada (May and June 2011)
  • Research assistant at the Data Management and Data Exploration Group, RWTH Aachen University (since July 2008)
  • Promotion [Ph.D.] at the RWTH Aachen University (June 2008 - March 2012)
    • Dissertation (Ph.D. thesis) "Subspace Clustering for Complex Data"
    • Graduated with distinction "summa cum laude"
  • Studies in Computer Science at RWTH Aachen Universiy (October 2003 - May 2008)
    • Diplomarbeit (Master thesis) "Approximations for efficient subspace clustering in high-dimensional databases"
    • Graduated with distinction

 

Academic Honors:

  • DAAD scholarship for postdoctoral research at the Carnegie Mellon University, 2012
  • ECML PKDD Best Paper Award for the paper "DB-CSC: A density-based approach for subspace clustering in graphs with feature vectors", 2011
  • Friedrich-Wilhelm-Preis for diploma thesis on "Approximations for efficient subspace clustering in high-dimensional databases", 2009
  • Springorum-Denkmünze for Diplom (Master of Science) in Computer Science with overall mark 'excellent', 2009
  • Schöneborn-Preis for the year's best Vordiplom (Bachelor degree equivalent) in Computer Science at the RWTH Aachen University, 2006

Further Links:

(c) Stephan Günnemann, Stephan Guennemann, Stephan Gunnemann

Thesis

Approximations for efficient subspace clustering in high-dimensional databases

with Exzellenzcluster UMIC
Tutor: Müller E., Assent I., Krieger R.
Type: Diplomarbeit

Subspace Clustering for Complex Data

Tutor: Seidl T.
Type: Dissertation