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About

Stefan Rüping studied computer sciences at the University of Dortmund from 1994 to 1999. From October 1999 until September 2005 he was a research assistant and Ph. D. student at the Artificial Intelligence Unit of the University of Dortmund, where he was working in the Collaborative Research Center on Complexity Reduction in Multivariate Data (SFB475). Since October 2005 he is a member of the Knowledge Discovery Group at the Fraunhofer Institute IAIS. In 2006 he finished his Ph. D. as a student of Prof. Katharina Morik of the University of Dortmund.
New website: http://www.stefan-rueping.de

Projects

Research Topics

Publications

Morik/Rueping/2006a Morik, Katharina and Rüping, Stefan. Klassifikations-/Clustermethoden und Konjunkturanalyse. Duncker & Humbolt, 2006.
Morik/Rueping/2006b Morik, Katharina and Rüping, Stefan. An Inductive Logic Programming Approach to the Classification of Phases in Business Cycles. In Heilemann, U. and Weihs, Claus (editors), Classification and Clustering in Business Cycle Analysis, Duncker & Humbolt, 2006.
Rueping/2006a Rüping, Stefan. Learning interpretable models. University Dortmund, 2006.
Rueping/Scheffer/2005a Ruping, Stefan and Scheffer, Tobias (editors). Proceedings of the ICML 2005 Workshop on Learning with Multiple Views. 2005.
Rueping/2004a Rüping, Stefan. A Simple Method for Estimating Conditional Probabilities in SVMs. In Abecker, A. and Bickel, S. and Brefeld, U. and Drost, I. and Henze,N. and Herden, O. and Minor, M. and Scheffer, T. and Stojanovic, L. and Weibelzahl, S. (editors), Lernen - Wissensentdeckung - Adaptivität, Berlin, Humboldt-Universität, 2004.
Rueping/2004b Rüping, Stefan. Probabilistic SVMs - How Much Scaling Do We Need?. 2004.
Klinkenberg/Rueping/2003a Klinkenberg, Ralf and Rüping, Stefan. Concept Drift and the Importance of Examples. In Franke, Jurgen and Nakhaeizadeh, Gholamreza and Renz, Ingrid (editors), Text Mining -- Theoretical Aspects and Applications, pages 55--77, Berlin, Germany, Physica-Verlag, 2003.
Rueping/Morik/2003a Rüping, Stefan and Morik, Katharina. Support Vector Machines and Learning about Time. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), 2003.
Rueping/Morik/2003b Rüping, Stefan and Morik, Katharina. Support Vector Machines and Learning about Time. No. 4, SFB475, Universitat Dortmund, Dortmund, Germany, 2003.
Morik/etal/2002a Morik, Katharina and Joachims, T. and Imhoff, M. and Brockhausen, P. and Rüping, S.. Integrating Kernel Methods into a Knowledge-based Approach to Evidence-based Medicine. In Schmitt, Manfred and Teodorescu, Horia-Nicolai and Jain, Ashlesha and Jain, Ajita and Jain, Sandhya and Jain, Lakhmi C. (editors), Studies in Fuzzi- ness and Soft Computing., Vol. 96, pages 71--99, Physica-Verlag, 2002.
Morik/Rueping/2002a Morik, Katharina and Rüping, Stefan. A Multistrategy Approach to the Classification of Phases in Business Cycles. In Elomaa, Taprio and Mannila, Heikki and Toivonen, Hannu (editors), Machine Learning: ECML 2002, Vol. 2430, pages 307--318, Berlin, Springer, 2002.
Rueping/2002a Stefan Rüping. Support Vector Machines in Relational Databases. In Seong-Whan Lee and Alessandro Verri (editors), Pattern Recognition with Support Vector Machines --- First International Workshop, SVM 2002, pages 310--320, Springer, 2002.
Rueping/2002b Rüping, Stefan. Efficient Kernel Calculation for Multirelational Data. In Kokai, Gabriella and Zeidler, Jens (editors), Proceedings der FGML 2002, pages 121-126, Learning Lab Lower Saxony, Hannover, Germany, 2002.
Rueping/2002c Rüping, Stefan. Incremental Learning with Support Vector Machines. No. 18, SFB475, Universitat Dortmund, Dortmund, Germany, 2002.
Klinkenberg/etal/2001a Klinkenberg, Ralf and Ruping, Stefan and Fick, Andreas and Henze, Nicola and Herzog, Christian and Molitor, Ralf and Schroder, Olaf (editors). LLWA 01 -- Tagungsband der GI-Workshop-Woche Lernen -- Lehren -- Wissen -- Adaptivitat. No. Nr. 763, Dortmund, Germany, 2001.
Rueping/2001a Rüping, Stefan. SVM Kernels for Time Series Analysis. In Klinkenberg, Ralf and Ruping, Stefan and Fick, Andreas and Henze, Nicola and Herzog, Christian and Molitor, Ralf and Schroder, Olaf (editors), LLWA 01 - Tagungsband der GI-Workshop-Woche Lernen - Lehren - Wissen - Adaptivitat, pages 43-50, Dortmund, Germany, 2001.
Rueping/2001b Rüping, Stefan. Incremental Learning with Support Vector Machines. In Cercone, Nick and Lin, T.Y. and Wu, Xindong (editors), Proceedings of the 2001 IEEE International Conference on Data Mining (ICDM '01), pages 641--642, IEEE, 2001.
Rueping/99a Rüping, Stefan. Zeitreihenprognose fur Warenwirtschaftssysteme unter Berucksichtigung asymmetrischer Kostenfunktionen. Universitat Dortmund, 1999.

Software

Supervised Theses