Ralf Klinkenberg

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Ralf Klinkenberg (born May 30th, 1971, in Troisdorf, Germany), is a German computer scientist in the field of artificial intelligence (AI), knowledge discovery (KD), data mining, and machine learning (ML). He currently lives in Dortmund, Germany, and works as independent researcher, consultant, and software developer. Furthermore he started the open-source data mining project YALE together with Ingo Mierswa, Simon Fischer, and Oliver Ritthoff, and still is a member of its core developer team. In December 2006, Ralf Klinkenberg co-founded the open-source data mining company Rapid-I together with Ingo Mierswa.

Contents 1 Biography 2 Research Topics 3 Affiliations 4 Selected publications 5 References 6 See also 7 External links

[edit] Biography

Ralf Klinkenberg was born in Troisdorf, Germany, where he attended the primary school in Troisdorf-Eschmar and the secondary school Gymnasium zum Altenforst. He later attended the secondary school Ruhr-Gymnasium Witten in Witten, Germany, where he completed his highschool education in 1991.

From 1991 to 1998, he studied Computer Science at University of Dortmund in Dortmund, Germany. 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). 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 1995 he also worked there as a part-time research assistant. In 1996 he completed his studies at UMR as a Master of Science in Computer Science. In the same year, he also worked for Taris Bank in İzmir, Turkey, as an intern. He received his Diplom in Computer Science (German degree equivalent to Master of Science) from the University of Dortmund in 1998.

From 1998 to 2003, Ralf Klinkenberg was a research and teaching assistant of Prof. Dr. Katharina Morik at the Artificial Intelligence Unit of University of Dortmund in Dortmund, Germany. Since 2003 he works as independent researcher, consultant, and software developer and is a Ph.D. student of Prof. Dr. Katharina Morik. In December 2006, Ralf Klinkenberg co-founded the open-source data mining company Rapid-I together with Ingo Mierswa.

[edit] Research Topics

• Learning drifting concepts from time-varying data streams, data stream mining
• Machine learning
• Data mining, web mining, text mining, text classification
• Knowledge discovery
• Knowledge management
• Feature extraction, feature construction, feature selection, feature set transformations
• Natural language processing
• Computational intelligence

[edit] Affiliations

Ralf Klinkenberg is affiliated with the following organizations:

• Dortmund University: University of Dortmund, Computer Science Department, Artificial Intelligence Group: Ralf Klinkenberg's Home Page
• 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).

[edit] Selected publications

• Mierswa, Ingo and Wurst, Michael and Klinkenberg, Ralf and Scholz, Martin and Euler, Timm: YALE: Rapid Prototyping for Complex Data Mining Tasks. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), ACM Press, 2006.
• Scholz, Martin and Klinkenberg, Ralf: Boosting Classifiers for Drifting Concepts. In Intelligent Data Analysis (IDA), Special Issue on Knowledge Discovery from Data Streams (accepted for publication), 2006.
• 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, 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.
• Klinkenberg, Ralf. Predicting Phases in Business Cycles Under Concept Drift. In Hotho, Andreas and Stumme, Gerd (editors), Proceedings of LLWA-2003 / FGML-2003, pages 3--10, Karlsruhe, Germany, 2003.
• Klinkenberg, Ralf and Rüping, Stefan: Concept Drift and the Importance of Examples. In Franke, Jürgen and Nakhaeizadeh, Gholamreza and Renz, Ingrid (editors), Text Mining -- Theoretical Aspects and Applications, pages 55--77, Berlin, Germany, Physica-Verlag, 2003.
• 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.
• Mierswa, Ingo and Klinkenberg, Ralf and Fischer, Simon and Ritthoff, Oliver: A Flexible Platform for Knowledge Discovery Experiments: YALE -- Yet Another Learning Environment. In Proceedings of LLWA-2003 / FGML-2003.
• 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.
• 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, 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.
• Ritthoff, Oliver and Klinkenberg, Ralf and Fischer, Simon and Mierswa, Ingo and Felske, Sven: YALE: Yet Another Machine Learning Environment. In Proceedings of LLWA-2001 / FGML-2001, Technical Report No. 763, pages 84--92, Dortmund, Germany, 2001.
• Klinkenberg, Ralf and Joachims, Thorsten: Detecting Concept Drift with Support Vector Machines. In Langley, Pat (editor), Proceedings of the Seventeenth International Conference on Machine Learning (ICML), pages 487--494, San Francisco, CA, USA, Morgan Kaufmann, 2000.
• Klinkenberg, Ralf: Maschinelle Lernverfahren zum adaptiven Informationsfiltern bei sich verändernden Konzepten. Msster thesis (in German), Computer Science Department, University of Dortmund, Dortmund, Germany 1998.
• 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.
• 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, Ralf: Rule Set Quality Measures For Inductive Learning Algorithms. Master thesis, Department of Computer Science, University of Missouri-Rolla, Rolla, MO, USA, 1996.
• 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 Fernandez, 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, 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, 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 Fernandez, 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, 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.

See http://www-ai.cs.uni-dortmund.de/PERSONAL/klinkenberg.html for a more complete list of Ralf Klinkenberg's publications and for downloadable versions of them in PDF and/or PostScript (PS) format.

[edit] References

1. http://www-ai.cs.uni-dortmund.de/PERSONAL/klinkenberg.html
2. http://www.ralf-klinkenberg.de/
3. http://rapid-i.com/

[edit] See also

• YALE (http://yale.sf.net/): freely available open-source software for intelligent data analysis, knowledge discovery, data mining, and machine learning co-developed by Ralf Klinkenberg, Ingo Mierswa, and other researchers at the Artificial Intelligence Unit at University of Dortmund, Dortmund, Germany

[edit] External links

• Ralf Klinkenberg's home page at Artificial Intelligence Unit, University of Dortmund, Dortmund, Germany
• Ralf Klinkenberg's private home page.
• YALE (http://yale.sf.net/): freely available open-source software for intelligent data analysis, knowledge discovery, data mining, and machine learning co-developed by Ralf Klinkenberg, Ingo Mierswa, and other researchers at the Artificial Intelligence Unit at University of Dortmund, Dortmund, Germany.
• Rapid-I (www.rapid-i.com): open-source data mining company offering open-source data mining software, open-source licenses (GNU General Public License (GPL)) and alternative closed-source developer licenses, customization and integration, consulting and training, intelligent data analysis and predictive analytics, data mining and knowledge discovery solutions and applications, software development, and other related services.