Data Mining
- Faculty
Faculty of Business Management and Social Sciences
- Version
Version 1 of 31.01.2025.
- Module identifier
22B0332
- Module level
Bachelor
- Language of instruction
German
- ECTS credit points and grading
5.0
- Module frequency
only winterterm
- Duration
1 semester
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Hours of workload Type of teaching Media implementation Concretization 30 Lecture Presence - 30 Practice Presence - Lecturer independent learning Hours of workload Type of teaching Media implementation Concretization 40 Preparation/follow-up for course work - 30 seminar paper - 20 Exam preparation -
- Graded examination
- Homework / Assignment or
- Portfolio exam or
- Written electronical examination
- Literature
Kamber; Han: Data Mining Concepts and Techniques, Morgan Kaufmann. Ester; Sander: Knowledge Discovery in Databases. Techniken und Anwendungen. Springer, Berlin 2000. Wickham, H.; Grolemund, G.: R for Data Science, Verlag O'Reilly, 2016 Torgo, L.: Data Mining with R, Verlag CRC Press, 2011 Lantz, B.: Machine Learning with R. 3. Edition, Verlag Packt> Weitere Literatur wird w?hrend der Veranstaltung angegeben.
- Applicability in study programs
- Business Information Systems - WiSo
- Business Information Systems B.Sc. (01.09.2024) WiSo
- Person responsible for the module
- Dallm?ller, Klaus
- Teachers
- Dallm?ller, Klaus