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scholz.jpg Email: scholz At Symbol ls8.cs.uni-dortmund.de
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Martin Scholz studierte von 1994 bis 2001 Informatik an der Universität Dortmund. Seit September 2001 arbeitet er als wissenschaftlicher Mitarbeiter am Lehrstuhl für Künstliche Intelligenz.

Projekte

Forschungsthemen

Publikationen

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, Seiten 3--28, 2007.
Scholz/2007a Scholz, Martin. Scalable and Accurate Knowledge Discovery in Real-World Databases. Department of Computer Science, University of Dortmund, 2007. Arrow Symbol
Scholz/2006a Scholz, Martin. Boosting in PN Spaces. In Johannes Furnkranz, Tobias Scheffer, Myra Spiliopoulou (editors), Proceedings of the 17th European Conference on Machine Learning (ECML-06), Vol. 4212, Seiten 377--388, Berlin, Germany, Springer, 2006.
Wurst/Scholz/2006a Wurst, Michael and Scholz, Martin. Distributed Subgroup Discovery. In Johannes Furnkranz, Tobias Scheffer, Myra Spiliopoulou (editors), Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-06), Vol. 4213, Seiten 421--433, Berlin, Germany, Springer, 2006.
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), Seiten 935--940, ACM, New York, USA, ACM Press, 2006. Arrow Symbol
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.
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, Seiten 53--64, Porto, Portugal, 2005. Arrow Symbol
Scholz/2005c Scholz, Martin. Comparing Knowledge-Based Sampling to Boosting. No. 26, Collaborative Research Center on the Reduction of Complexity for Multivariate Data Structures (SFB 475), University of Dortmund, Dortmund, Germany, 2005.
Scholz/2005a Scholz, Martin. Knowledge-Based Sampling for Subgroup Discovery. In Morik, Katharina and Boulicaut, Jean-Francois and Siebes, Arno (editors), Local Pattern Detection, Vol. LNAI 3539, Seiten 171--189, Springer, 2005.
Scholz/2005e Scholz, Martin. On the Complexity of Rule Discovery from Distributed Data. No. 31, SFB475, Universitat Dortmund, Dortmund, Germany, 2005.
Scholz/2005d Scholz, Martin. On the Tractability of Rule Discovery from Distributed Data. In Han, J. and Wah, B.W. and Raghavan, V. and Wu, X. and Rastogi, R. (editors), Proceedings of the 5th IEEE International Conference on Data Mining (ICDM '05), Seiten 761--764, Houston, Texas, USA, IEEE Computer Society, 2005.
Scholz/2005b Scholz, Martin. Sampling-Based Sequential Subgroup Mining. In Grossman, R. L. and Bayardo, R. and Bennett, K. and Vaidya, J. (editors), Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '05), Seiten 265--274, Chicago, Illinois, USA, ACM Press, 2005.
Foussette/etal/2004a Foussette, Christophe and Hakenjos, Daniel and Scholz, Martin. KDD-Cup 2004: Protein Homology Task. In ACM SIGKDD Explorations Newsletter, Vol. 6, No. 2, Seiten 128 -- 131, 2004.
Morik/Scholz/2004a Morik, Katharina and Scholz, Martin. The MiningMart Approach to Knowledge Discovery in Databases. In Ning Zhong and Jiming Liu (editors), Intelligent Technologies for Information Analysis, Seiten 47--65, Springer, 2004.
Euler/Scholz/2004a Euler, Timm and Scholz, Martin. Using Ontologies in a KDD Workbench. In Buitelaar, P. and Franke, J. and Grobelnik, M. and Paa?, G. and Svatek, V. (editors), Workshop on Knowledge Discovery and Ontologies at ECML/PKDD '04, Seiten 103--108, Pisa, Italy, 2004.
Euler/etal/2003a Euler, Timm and Morik, Katharina and Scholz, Martin. MiningMart: Sharing Successful KDD Processes. In Hotho, Andreas and Stumme, Gerd (editors), LLWA 2003 -- Tagungsband der GI-Workshop-Woche Lehren -- Lernen -- Wissen -- Adaptivitat, Seiten 121--122, 2003.
Morik/etal/2003b Morik, Katharina and Scholz, Martin and Euler, Timm. Ext-MM Final Report. No. D20.5, IST Project MiningMart, IST-11993, 2003.
Morik/etal/2003a Morik,Katharina and Scholz, Martin and Euler, Timm. MiningMart Final Report. No. D20.4, IST Project MiningMart, IST-11993, 2003.
Scholz/2002a Scholz, Martin. Using real world data for modeling a protocol for ICU monitoring. In Lucas, Peter and Asker, Lars and Miksch, Silvia (editors), Intelligent Data Analysis in Medicine and Pharmacology Workshop (IDAMAP 2002), at 15th European Conference on Artificial Intelligence, Seiten 85--90, Lyon, France, 2002.
Scholz/2001a Scholz, Martin. Modellierung eines intensivmedizinischen Behandlungsprotokolls zur Validierung anhand realer Patientendaten. No. 26, Fachbereich Informatik, Universitat Dortmund, 2001.
Scholz/Haustein/2001b Scholz, Martin and Haustein, Stefan. The MLnet II Training Interactive AI Resources. In Proceedings of the IJCAI 2001 Workshop on Interactive AI Resources, 2001.

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