Course: Data Mining in Finance (5304-631)
Note: Last updated September 2019.
Current module catalog in HohCampus.
- Persons:
-
- Prof. Dr. Stefan Kirn (verantwortlich)
- Type of Course:
- lecture with exercise
- In-Class Hours Per Week:
- 2
- Contents:
-
Students learn to analyze and understand knowledge-intensive decision-making problems in the financial sector. The lecture teaches skills and knowledge of models, methods and tools in the fields of data mining, data warehousing, machine learning, neural networks, information extraction, text classification, clustering and sentiment analysis.
- Literature:
-
Han, Kamber, Pei (2012) Data Mining: Concepts and Techniques, Elsevier Manning C, Raghavan P, Schütze H (2008) lntroduction to Information Retrieval, Cambridge University Press
Bishop, C M (2006) Pattern Recognition and Machine Learning, Springer - Location:
- Hohenheim
- Module:
-
- 5304-630 Information Systems in Finance (semi-elective)
- 5304-430 Information Systems in Finance 1 (semi-elective)
- 5304-670 Data Mining in Finance (compulsory)
- eLearning:
- Course in ILIAS