Dr. rer. nat. Ralph Krieger    Research associate
E-Mail:
Publications:    27 entrys
Staffer until 30.09.2008

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:

• Subspace Clustering
  
• NISIS

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 Detection in heterogenen Sensordaten
  
• Jennifer Herrmann: Effiziente Bayes Classification using hierarchical Indexstructures
  
• 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