[ 926BUSIDAMU14 ] UE Data Mining
|
|
|
| Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Economic and Business Analytics 2024W vorhanden. |
|
| (*) 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 |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
2WBMDMU: UE Data Mining (2011S-2014S)
|
|
|
|
| On-site course |
| Maximum number of participants |
30 |
| Assignment procedure |
Assignment according to priority |
|
