Email:
klinkenberg
ls8.cs.uni-dortmund.de
Phone: 0231/425-78692 Room-No.: - |
Klinkenberg/etal/2007a | Klinkenberg, Ralf and Mierswa, Ingo and Hinneburg, Alexander and Posch, Stefan and Neumann, Steffen (editors). Proc. of LWA 2007 - Lernen - Wissensentdeckung - Adaptivität. Martin Luther University, Halle-Wittenberg, Germany, 2007. |
Scholz/Klinkenberg/2006b | Scholz, Martin and Klinkenberg, Ralf. Boosting Classifiers for Drifting Concepts. In Intelligent Data Analysis (IDA), Special Issue on Knowledge Discovery from Data Streams, Vol. 11, No. 1, pages 3--28, 2007. |
Mierswa/etal/2006a | Mierswa, Ingo and Wurst, Michael and Klinkenberg, Ralf and Scholz, Martin and Euler, Timm. YALE: Rapid Prototyping for Complex Data Mining Tasks. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), pages 935--940, ACM, New York, USA, ACM Press, 2006. |
Scholz/Klinkenberg/2006a | Scholz, Martin and Klinkenberg, Ralf. Boosting Classifiers for Drifting Concepts. No. 6/06, Collaborative Research Center on the Reduction of Complexity for Multivariate Data Structures (SFB 475), University of Dortmund, Dortmund, Germany, 2006. |
Klinkenberg/2005a | Klinkenberg, Ralf. Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift. In Furnkranz, Johannes and Grieser, Gunter (editors), Annual workshop of the special interest group on machine learning, knowledge discovery, and data mining (FGML-2005) of the German Computer Science Society (GI) within the workshop week \em Learning -- Knowledge Discovery -- Adaptivity (LWA-2005), Saarbrucken, Germany, 2005. |
Scholz/Klinkenberg/2005a | Scholz, Martin and Klinkenberg, Ralf. An Ensemble Classifier for Drifting Concepts. In Gama, J. and Aguilar-Ruiz, J. S. (editors), Proceedings of the Second International Workshop on Knowledge Discovery in Data Streams, pages 53--64, Porto, Portugal, 2005. |
Klinkenberg/2004a | Klinkenberg, Ralf. Learning Drifting Concepts: Example Selection vs. Example Weighting. In Intelligent Data Analysis (IDA), Special Issue on Incremental Learning Systems Capable of Dealing with Concept Drift, Vol. 8, No. 3, pages 281--300, 2004. |
Felske/etal/2003a | Felske, Sven and Ritthoff, Oliver and Klinkenberg, Ralf. Bestimmung von Isothermenparametern mit Hilfe des maschinellen Lernens. No. CI-149/03, Sonderforschungsbereich 531, Universitat Dortmund, Dortmund, 2003. |
Klinkenberg/2003a | Klinkenberg, Ralf. Predicting Phases in Business Cycles Under Concept Drift. In Hotho, Andreas and Stumme, Gerd (editors), LLWA 2003 -- Tagungsband der GI-Workshop-Woche \em Lehren -- Lernen -- Wissen -- Adaptivitat, Proceedings of the Workshop Week \em Teaching -- Learning -- Knowledge -- Adaptivity of the National German Computer Science Society (GI) / Annual Workshop on Machine Learning, pages 3--10, Karlsruhe, Germany, 2003. |
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. |
Mierswa/etal/2003a | Mierswa, Ingo and Klinkenberg, Ralf and Fischer, Simon and Ritthoff, Oliver. A Flexible Platform for Knowledge Discovery Experiments: YALE -- Yet Another Learning Environment. In LLWA 03 - Tagungsband der GI-Workshop-Woche Lernen - Lehren - Wissen - Adaptivitat, 2003. |
Ritthoff/Klinkenberg/2003a | Ritthoff, Oliver and Klinkenberg, Ralf. Evolutionary Feature Space Transformation using Type-Restricted Generators. In Cantu-Paz, E. et al. (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2003) - Part II, pages 1606--1607, Springer, 2003. |
Daniel/etal/2002a | Daniel, Guido and Dienstuhl, J. and Engell, S. and Felske, S. and Goser, K. and Klinkenberg, R. and Morik, K. and Ritthoff, O. and Schmidt-Traub, H.. Novel Learning Tasks, Optimization, and Their Application. In Schwefel, H.-P. and Wegener, I. and Weinert, K. (editors), Advances in Computational Intelligence -- Theory and Practice, pages 245--318, Berlin, Germany, Springer, 2002. |
Fischer/etal/2002a | Fischer, Simon and Klinkenberg, Ralf and Mierswa, Ingo and Ritthoff, Oliver. \sc Yale: Yet Another Learning Environment -- Tutorial. No. CI-136/02, Collaborative Research Center 531, University of Dortmund, Dortmund, Germany, 2002. |
Klinkenberg/2002a | Klinkenberg, Ralf. Transductive Learning of Drifting Concepts. No. CI-125/02, Collaborative Research Center 531, University of Dortmund, Dortmund, Germany, 2002. |
Klinkenberg/2002b | Klinkenberg, Ralf. Informed Parameter Setting for Support Vector Machines: Using Additional User Knowledge in Classification Tasks. No. CI-126/02, Collaborative Research Center 531, University of Dortmund, Dortmund, Germany, 2002. |
Klinkenberg/etal/2002a | Klinkenberg, Ralf and Ritthoff, Oliver and Morik, Katharina. Novel Learning Tasks From Practical Applications. In Henze, Nicola and Kókai, Gabriella and Zeidler, Jens (editors), LLA'02: Lehren -- Lernen -- Adaptivitat, Proceedings of the workshop of the special interest groups Machine Learning (FGML), Intelligent Tutoring Systems (ILLS), and Adaptivity and User Modeling in Interactive Systems (ABIS) of the German Computer Science Society (GI), pages 46--59, Hannover, Germany, University of Hannover, 2002. |
Klinkenberg/Slawinski/2002a | Klinkenberg, Ralf and Slawinski, Timo. Knowledge Management for Computational Intelligence. No. CI-131/02, Collaborative Research Center 531, University of Dortmund, Dortmund, Germany, 2002. |
Ritthoff/etal/2002a | Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo. A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm. No. CI-127/02, Collaborative Research Center 531, University of Dortmund, Dortmund, Germany, 2002. |
Ritthoff/etal/2002b | Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo. A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm. In Bullinaria, John A. (editors), Proceedings of the 2002 U.K. Workshop on Computational Intelligence (UKCI-02), pages 147--154, Birmingham, UK, University of Birmingham, 2002. |
Klinkenberg/2001a | Klinkenberg, Ralf. Using Labeled and Unlabeled Data to Learn Drifting Concepts. In Kubat, Miroslav and Morik, Katharina (editors), Workshop notes of the IJCAI-01 Workshop on \em Learning from Temporal and Spatial Data, pages 16--24, IJCAI, Menlo Park, CA, USA, AAAI Press, 2001. |
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. |
Klinkenberg/Slawinski/2001a | Klinkenberg, Ralf and Slawinski, Timo. Wissensmanagement in der Computational Intelligence: Systematisierung der Beschreibung von Problemen, Methoden und Methodeneinsatzen. In Mikut, Ralf and Reischl, Markus (editors), Proceedings 11. Workshop Fuzzy Control des VDI/VDE GMA-Fachausschuss 5.22, pages 78--99, Forschungszentrum Karlsruhe, Karlsruhe, Germany, 2001. |
Ritthoff/etal/2001a | Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo and Felske, Sven. \sc Yale: Yet Another Machine Learning Environment. 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, No. 763, pages 84--92, Dortmund, Germany, 2001. |
Klinkenberg/Joachims/2000a | Klinkenberg, Ralf and Joachims, Thorsten. Detecting Concept Drift with Support Vector Machines. In Langley, Pat (editors), Proceedings of the Seventeenth International Conference on Machine Learning (ICML), pages 487--494, San Francisco, CA, USA, Morgan Kaufmann, 2000. |
Saitta/etal/2000b | Saitta, Lorenza and Botta, Marco and Beccari, Giuseppe and Klinkenberg, Ralf. Studies in Parameter Setting. No. D4.2, IST Project MiningMart, IST-11993, 2000. |
Klinkenberg/99a | Klinkenberg, Ralf. Learning Drifting Concepts with Partial User Feedback. In Perner, Petra and Fink, Volkmar (editors), Beitrage zum Treffen der GI-Fachgruppe 1.1.3 Maschinelles Lernen (FGML-99), Magdeburg, Germany, 1999. |
Klinkenberg/98a | Klinkenberg, Ralf. Maschinelle Lernverfahren zum adaptiven Informationsfiltern bei sich verandernden Konzepten. Fachbereich Informatik, Universitat Dortmund, Germany, 1998. |
Klinkenberg/Renz/98a | Klinkenberg, Ralf and Renz, Ingrid. Adaptive Information Filtering: Learning in the Presence of Concept Drifts. In Sahami, Mehran and Craven, Mark and Joachims, Thorsten and McCallum, Andrew (editors), Workshop Notes of the ICML/AAAI-98 Workshop \em Learning for Text Categorization, pages 33--40, Menlo Park, CA, USA, AAAI Press, 1998. |
Klinkenberg/Renz/98b | Klinkenberg, Ralf and Renz, Ingrid. Adaptive Information Filtering: Learning Drifting Concepts. In Wysotzki, F. and Geibel, P. and Schadler, K. (editors), Beitrage zum Treffen der GI-Fachgruppe 1.1.3 Maschinelles Lernen (FGML-98), No. 98/11, pages 98--105, Germany, Fachbereich Informatik, TU Berlin, 1998. |
Aruca/etal/97a | Aruca, Ayse and Bankmann, Tino and Becks, Andreas and Bullerdick, Kai and Frank, Steffen and Goren, Leyla and Klahold, Stefan and Klinkenberg, Ralf and Ritthoff, Oliver and Tuben, Uwe. Endbericht der Projektgruppe 281 ``MOSES'' (Medizinisch Orientiertes SprachevaluationsSystem). Fachbereich Informatik, Universitat Dortmund, Dortmund, Germany, 1997. |
Altaf/etal/96a | Altaf, Usamah and Klinkenberg, Ralf and Dagli, Cihan. Automatic Face Recognition: Fuzzy Classification versus Neural Networks. In Microcomputer Applications, Vol. 15, No. 2, pages 58--65, Anaheim, CA, USA, Int'l Society for Mini and Microcomputers (ISMM), 1996. |
Klinkenberg/96a | Klinkenberg, Ralf. Rule Set Quality Measures For Inductive Learning Algorithms. Department of Computer Science, University of Missouri-Rolla, Rolla, MO, USA, 1996. |
Klinkenberg/StClair/96a | Klinkenberg, Ralf and St. Clair, Daniel. Rule Set Quality Measures For Inductive Learning Algorithms. In Dagli, C. H. and Akay, M. and Chen, C. L. P. and Fern\a'andez, B. R. and Ghosh, J. (editors), Intelligent Engineering Systems Through Artificial Neural Networks -- Smart Engineering Systems: Neural Networks, Fuzzy Logic, and Evolutionary Programming, Proc. Artificial Neural Networks In Engineering (ANNIE '96) Conf., Vol. 6, pages 161--168, New York, NY, USA, ASME Press, 1996. |
Tresp/etal/96a | Tresp, Christopher and Becks, Andreas and Klinkenberg, Ralf and Hiltner, Jens. Knowledge Representation In A World With Vague Concepts. In Albus, J. and Meystel, A. and Quintero, R. (editors), Intelligent Systems: A Semiotic Perspective -- Proc. 1996 International Multidisciplinary Conf., Volume I: Theoretical Semiotics, pages 71--76, Gaithersburg, MD, USA, 1996. |
Altaf/etal/95a | Altaf, Usamah and Klinkenberg, Ralf and Radu, Cosmin and Ratanapan, Kanchitpol and Hung, Yu-Chung and Dagli, Cihan. Face Recognition Using Feature Extraction and Fuzzy Classification. In Dagli, C. H. and Akay, M. and Chen, C. L. P. and Fern\a'andez, B. R. and Ghosh, J. (editors), Intelligent Engineering Systems Through Artificial Neural Networks -- Fuzzy Logic and Evolutionary Programming, Proc. Artificial Neural Networks In Engineering (ANNIE '95) Conf., Vol. 5, pages 451--458, New York, NY, USA, ASME Press, 1995. |
Altaf/etal/95b | Altaf, Usamah and Klinkenberg, Ralf and Dagli, Cihan. Face Recognition: Fuzzy Classification versus Neural Networks. In Proc. Ninth Mid-American Symposium on Emerging Technologies (MASECT '95), pages 6--14, Tahlequah, OK, USA, 1995. |