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GMD-Forschungszentrum Informationstechnik GmbH

Autonomous Intelligent Systems (AiS)

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GMD

GMD-Forschungszentrum Informationstechnik GmbH

http://www.gmd.de

b D, Y

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AiS.KD

Autonomous Intelligent Systems (AiS)

 CategoryWorking area 
 academic, research siteMachine learning 

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Description

 

Address

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The Knowledge Discovery Team is interested in all aspects of learning, knowledge discovery, and visual knowledge exploration. Our particular focus is on analysis of problems that go beyond standard single-table analysis, such as multirelational data and geographical data.

Schloß Birlinghoven

D-53754

 

City

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Sankt Augustin

Germany

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Software

Projects

 

  1. May, Michael
  1. (B)NGE
  2. Kepler
  3. Mobal
  4. RDBC
  5. RIBL
  6. SVM-Light
  1. KESO
  2. ShowRisk

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Members of this group

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  1. aasunshine, aasunshine
  2. aasunshine, aasunshine
  3. aasunshine, aasunshine
  4. aasunshine, aasunshine
  5. aasunshine, aasunshine
  6. aasunshine, aasunshine
  7. Andrienko, Gennady
  8. Andrienko, Natalia
  9. Horvath, Tamas
  10. JAPHspam, JAPHspam
  11. JAPHspam, JAPHspam
  12. JAPHspam, JAPHspam
  13. Joachims, Thorsten
  14. Kindermann, Jörg
  15. Klösgen, Willi
  16. May, Michael
  17. Oliveira, Maria
  18. Paaß, Gerhard
  19. Savinov, Alexandr
  20. Voss, Hans

(not yet available)

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Areas of expertise

Courses

Application areas

 

 

Knowledge discovery (KD), inductive logic programming (ILP), visual knowledge exploration

Selected references:
Gennadi and Natalia Andrienko:
Interactive Maps for Visual Data Exploration
International Journal of Geographical Information Science, 13(5), appears June 1999

Uta Bohnebeck, Tamas Horvath, Stefan Wrobel:
Term Comparisons in First-Order Similarity Measures
In David Page, editor, Proc. 8th Int. Conference on Inductive Logic Programming (ILP98), pages 65 - 79, Berlin, New York, 1998. Springer Verlag

Mathias Kirsten , Stefan Wrobel:
Relational Distance-Based Clustering
In David Page, editor, Proc. 8th Int. Conference on Inductive Logic Programming (ILP98), pages 261 - 270, Berlin, New York, July 1998. Springer Verlag

Willi Klösgen, Jan Zytkow (eds.):
Handbook of Data Mining and Knowledge Discovery
Oxford University Press, to appear 1999

Willi Klösgen:
Deviation and association patterns for subgroup mining in temporal, spatial, and textual data bases
In Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence, Vol. 1423, Springer Verlag

Michael May:
Causation and Discovery
In Ahrweiler, P. , Gilbert, N., Computer Simulations in Science and Technology Studies, pages 53 - 69, Berlin, Springer Verlag 1998

Gerhard Paaß, Jörg Kindermann:
Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring
In: X. Wu , R. Kotagiri, K.B. Korb (eds.): Research and Development in Knowledge Discovery and Data Mining. Springer-Verlag, Berlin 1998 pp. 234 - 245

(not yet available)

 

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Type of learning

 

 

 

 

(not yet available)

 

 

 

 

 

 

 

 

 

 

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