[ 926BUSIDAMV14 ] VL Data Mining

Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Economic and Business Analytics 2023W vorhanden.
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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Business Informatics Felix Burgstaller 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Master's programme Business Informatics 2016W
Objectives See Data Mining module
Subject See Data Mining module
Criteria for evaluation Written exam
Methods Content will be presented in a classical lecture, complemented by an exercise.
Language German/English
Study material Basic literature:

  • Han, J.; Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, latest edition.

Supplementary literature:

  • Liu, B.: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer Verlag, latest edition.
  • Piatetski-Shapiro, G.: Data Mining and Analytics Resources. [last accessed: 28. May 2013].

Further reading will be announced for each semester.

Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
2WBMDMV: VL Data Mining (2011S-2014S)
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority