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

