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Albert-Ludwigs-Universität Freiburg Chair for Information Systems Research Platz der Alten Synagoge, 79085 Freiburg http://www.is.uni-freiburg.de “Data Mining – Methods and Applications” - Winter Term 2013/14 - Course Description: Data mining is becoming increasingly important to interpret the vast amounts of data that are accumulated today. In this lecture students are introduced to several techniques that allow them to extract previously unknown information from these enormous data sets. The gained insights can subsequently be used to support decision making in business or public administration. Some topics that will be tackled in this lecture are, for instance: Clustering – the automated separation of large data sets into meaningful clusters Associations – pattern recognition based on the relationships between observations in the data set Prediction – using relationships between observations to predict future developments - Decision Trees - Artificial Neural Networks - Support Vector Machines - Kernels Communication: Slides and other material will be posted on ILIAS. Literature: T.M. Mitchell, 1997, Machine Learning, McGraw-Hill: Boston. C.M. Bishop, 2006, Pattern Recognition and Machine Learning, Springer: New York. Dates and Location 05.11.13 08:30 - 10 am and 12 – 02 pm PcPool 2114a 12.11.13 08:30 – 10 am and 12 – 02 pm PcPool 2114a 19.11.13 01:30 pm – 03:30 pm PcPool 2114a 26.11.13 08:30 – 10 am and 12 – 02 pm Pc-Pool 2114a 27.11.13 08:30 – 10 am Pc-Pool 2114a 03.12.13 08:30 – 10 am and 12 – 02 pm PcPool 2114a Policies and Procedures Grading: final exam Creditpoints: 4 Target Group: This course is open to all M.Sc. Economics students. Due to some overlap, the course is closed to M.Sc. VWL students. Chair Prof. Dr. Dirk Neumann Albert- Ludwigs – University Chair of Information Systems Platz der Alten Synagoge DE – 79085 Freiburg Contact Tobias Brandt ([email protected])