Data Mining
- Faculty
Faculty of Business Management and Social Sciences
- Version
Version 4.0 of 10/28/2020
- Code of Module
22B0332
- Modulename (german)
Daten-Analyse/Data Mining
- Study Programmes
Betriebliches Informationsmanagement (B.Sc.)
- Level of Module
3
- Responsible of the Module
Dallmöller, Klaus
- Lecturer(s)
- Dallmöller, Klaus
- Faatz, Andreas
- Bensberg, Frank
- Credits
5
- Concept of Study and Teaching
Workload Dozentengebunden Std. Workload Lehrtyp 30 Vorlesungen 30 Übungen Workload Dozentenungebunden Std. Workload Lehrtyp 40 Veranstaltungsvor-/-nachbereitung 30 Hausarbeiten 20 Prüfungsvorbereitung
- Recommended Reading
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, 2016Torgo, L.: Data Mining with R, Verlag CRC Press, 2011Lantz, B.: Machine Learning with R. 3. Edition, Verlag Packt>Weitere Literatur wird während der Veranstaltung angegeben.
- Graded Exam
- Homework / Assignment
- Two-Hour Written Examination
- Portfolio exam
- Duration
1 Term
- Module Frequency
Only Winter Term
- Language of Instruction
German