Dr. rer. nat. Ralph Krieger

Research associate
Email:krieger@informatik.rwth-aachen.de
Publications: 30 entries

Short Biography:

  • I studied computer science at the RWTH Aachen University and received my diploma (master) degree in June 2002
  • From June, 2002 on I worked as a system developer for Micos Security Systems (now Bosch Security Systems)
  • I started as a research assistant at the Chair for Computer Science 9 at April 2003

Research Interests:

Efficient Density Estimation for Knowledge Discovery in Databases, including:

  • anytime classification by efficient density estimation
  • clustering sequence databases
  • density based subspace clustering

Projects:

Teaching:

  • Exercises
    • Data Mining Algorithms, SS 2007
    • Models of Data Exploration, WS 2006/07
    • Index Structures, WS 2005/06
    • Data Mining Algorithms, SS 2005
    • Models of Data Exploration, WS 2004/05
    • Index Structures, SS 2004
    • Algorithms and Data Structures, SS 2004
    • Programming, WS 2003/04
    • Data Structures and Algorithms, SS 2003
  • Regularly supervision of
    • Seminar theses
    • Proseminar theses
    • Practical courses

Reviews:

  • International Conferences
    • VLDB 2006 (International Conference on Very Large Databases)
    • ICDE 2006 (IEEE International Conference on Data Engineering)
    • SIGMOD 2006 (ACM Special Interest Group on Management of Data International Conference)
    • KDD 2005 (ACM Special Interest Group on Knowledge Discovery and Data Mining International Conference)
    • VLDB 2005 (International Conference on Very Large Databases)
    • ICDE 2005 Demos (IEEE International Conference on Data Engineering)
    • SIGMOD 2004 (ACM Special Interest Group on Knowledge Discovery and Data Mining International Conference)
    • KDD 2004 (ACM Special Interest Group on Knowledge Discovery and Data Mining International Conference)
  • International Journals

    • TODS (IEEE Transactions on Database Systems)
    • TKDE (IEEE Transactions on Knowledge and Data Engineering)
    • IPL (Information Processing Letters)
    • VLDB Journal (The International Journal on Very Large Data Bases)
    • KAIS (Knowledge and Information Systems)

Supervised Diploma Thesis:

  • Hardy Kremer: Time Warping-basierte Ähnlichkeitssuche in großen Videodatenbanken
  • Uwe Steinhausen:  Outlier Detektion in heterogenen Sensordaten
  • Jennifer Herrmann: Effiziente Bayes Klassifikation mit Hilfe von  hierarchischen Indexstrukturen
  • Till Schulte-Coerne: Strukturorientierte Analyse von Internetströmen
  • Emmanuel Müller: Effizientes dichtebasiertes Subspaceclustering
  • Farzad Afschari: Indexbasierte Ähnlichkeitssuche in Sequenzdatenbanken für das Dynamic Time Warping Distanzmaß
  • Petra Welter: Lokal selektive Klassifikation mit Subspace-Clustern
  • Boris Glavic: Subspace Clustering for Sequences of Ordered Categorical Data
  • Boris Kaiser: Modulares Konzept zur Datenbereitstellung für den E-Commerce im Mittelstand

 

Thesis

Efficient density-based methods for knowledge discovery in databases

Tutor: Seidl T.
Type: Dissertation