Inhalt

[ 926BUSIDAMU14 ] UE Data Mining

Versionsauswahl
(*) Unfortunately this information is not available in english.
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 Practical exercises, presentation of case studies based on the lecture material
Methods Practical exercises in small groups applying knowledge communicated in the lecture and the exercise; presentation, discussion and documentation of the group results.
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 30
Assignment procedure Assignment according to priority