Download “Data Mining – Methods and Applications” - Winter Term 2013/14 -

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:
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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:
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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])