Hauptnavigation

Economics

Business intelligence is an often-used term for applications that deploy data analysis with the aim of understanding and controlling the behaviour of an enterprise. Classic analysis methods like OLAP are as important as Data Mining in this area. These techniques can be used in virtually all areas within an enterprise: in production, administration, controlling, in marketing or in the analysis of past and future market segments.

Staff

Klinkenberg, Ralf

Past Master Thesis

Publications

Had/etal/2009a Had, Martin and Jungermann, Felix and Morik, Katharina. Relation Extraction for Monitoring Economic Networks. In Horacek, H. and Metais, E. and Munoz, R. and Wolska, M. (editors), Proceedings of the 14th International Conference on Applications of Natural Language to Information Systems (NLDB), Vol. 5723, pages 103--114, Springer, 2009.
Drozdzynski/2008a Drozdzynski, Maik. Insolvenzprognose anhand von betriebswirtschaftlichen Kennzahlen. Technische Universität Dortmund, 2008.
Liebe/2008a Liebe, Miguel. Lokale Modelle in Jahresabschlussdaten. Technische Universität Dortmund, 2008.
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.
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.
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, pages 53--64, Porto, Portugal, 2005.
Morik/Koepcke/2004a Morik, Katharina and Köpcke, Hanna. Analysing Customer Churn in Insurance Data - A Case Study. In Jean-Francois Boulicaut and Floriana Esposito and Fosca Giannotti and Dino Pedreschi (editors), PKDD '04: Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Vol. 3202, pages 325--336, New York, NY, USA, Springer, 2004.
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.
Kleiner/etal/2002a Kleiner, M. and Dirksen, U. and Chatti, K. and Morik, K. and Ritthoff, O.. Online-Regelung fuer das Profilbiegen mit Methoden der Computational Intelligence. In Gronau, N. and Krallmann, H. and Scholz-Reiter, B. (editors), Industrie Management, No. 6, pages 29--32, Berlin, GITO-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.
Michaelis/2000a Michaelis, Stefan. Techniken des Data Mining zur Analyse von Telekommunikationsnetzwerken. Fachbereich Informatik, Universitat Dortmund, Germany, 2000.
Chliapnikov/99a Chliapnikov, Victor. Anwendung von Data Mining Verfahren auf Datenbestaende der Bauwirtschaft. Fachbereich Informatik, Universitaet Dortmund, Universitaet Dortmund, 1999.
Rueping/99a Rüping, Stefan. Zeitreihenprognose fur Warenwirtschaftssysteme unter Berucksichtigung asymmetrischer Kostenfunktionen. Universitat Dortmund, 1999.
Siebert/97a Mark Siebert. Erwerb funktionaler, raumlicher und kausaler Beziehungen von Fahrzeugteilen aus einer technischen Dokumentation. Fachbereich Informatik, Universitat Dortmund, 1997.
Rossbach/94a Peter Ro?bach. Optimierung von Belegungsplanen auf Grundlage Basiskonnektonistischer Methoden. Fachbereich Informatik, Universitat Dortmund, 1994.