Inhalt

[ 926BUSIDAMV14 ] VL Data Mining

Versionsauswahl
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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. http://www.kdnuggets.com/ [last accessed: 28. May 2013].

Further reading will be announced for each semester.

Changing subject? No
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority