Information Mining
2017-10-01

Teaching personnel


Lecturer
Tutor(s)

Formalia


Targeted audience
  • Angewandte Informatik Master with 6 credit points
  • Komedia Master with 6 credit points
  • ISE Master with 6 credit points
  • BWL Master with 2+1 hours per week and 4 credit points : nur Data Mining Kap. 1-7
  • Medizintechnik Master with 6 credit points

Dates


Lectures

Date

Time

Start

Place

Tuesday 12:30 - 14:55 10.10. LB/131

Tutorials

Date

Time

Start

Place

Tutor

Tuesday 15:00 - 15:45 17.10. LB/131Dr. Ahmet Aker

Examination Dates


Exam

Date

Time

Place

26. 02. 201815:00 - 17:00
 

Description


Information Mining deals with the extraction on implicit information from raw data (Data Mining) or text (Text Mining). The goal is the development of methods for analyzing databases and discovering useful information by means of abstraction. For this purpose, machine learning methods are applied.

Lecture material


Slides as well as sheets for the exercises can be obtained through ILIAS. For this please follow the following steps:

  • Shibboleth Login -> Login with your university login information
  • Scroll: Magazin -> Information Systems -> Information Mining
  • Click the button "Beitreten"

Additional material