Hauptnavigation

klinkenberg.jpg Email: klinkenberg ls8.cs.uni-dortmund.de
Phone: 0231/425-78692
Fax: 0231/755-5105
Room-No.: -

About

From January 1998 to March 2003, Ralf Klinkenberg was a research and teaching assistant and now is a Ph. D. student of Prof. Dr. Katharina Morik at the Artificial Intelligence Unit of University of Dortmund in Dortmund, Germany. He received his Diplom in Computer Science from the University of Dortmund in 1998. In 1994/95 he studied at University of Missouri-Rolla (UMR) in Rolla, Missouri, USA, for a year with a grant of the German-American Fulbright Commission. In 1996 he completed his studies at UMR as a Master of Science in Computer Science. His research interests are in the fields of machine learning, data mining, and knowledge discovery, with a focus on learning drifting concepts from time-varying data streams and machine learning with text. In 1992 he won a price in the national German computer science competition "Bundeswettbewerb Informatik" for pupils and young students organized by the German Informatics society (GI).

Projects

Research Topics

Publications

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 Tina Eliassi-Rad and Lyle H. Ungar and Mark Craven and Dimitrios Gunopulos (editors), Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), pages 935--940, 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, G. 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 K\'okai, 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.

Software

Supervised Master's Theses

Membership

Member of the Gesellschaft für Informatik e.V. (GI) (= German Informatics Society = German Computer Science Society), of its Artificial Intelligence Section, and of its Special Interest Group on Knowledge Discovery, Data Mining, and Machine Learning (FG-KDML, formerly FGML).

Professional Services

Reviewer for the following journals:Co-organizer or program committee member of the following events:
End of web site of Ralf Klinkenberg