Data Mining Lab Course WS 2018/19

 

Type:

Master Lab Course 10 P, IN2106

Ects:

10

Supervisors

Dr. Lothar Richter

Rotation:

weekly meeting of 2 hours, time slot: Wednesday 1-3 pm.

Rooms:

01.09.034

Language:

English

Announcements:

!!!!The seminar starts on Wednesday, October 24!!!!!

Open: Confirm you assigned spot until Oct 3rd.

The kick-off meeting is on Oct 24th, 1-3 pm, room 01.09.034

The pre-meeting will be on Wednesday, Jun 27th, 4 pm, and Thursday Jun 28th, 4pm, room: 01.09.034
Both dates are equivalent to split the number of people. It is sufficient to attend only once.
Prerequisites: Basic knowledge in data mining / machine learning is preferred, but not mandatory

Content

Topics will include (but not be limited to):

  • Selection of interesting data sets
  • Representation of data and information
  • Feature extraction, feature construction, feature selection
  • Data cleaning, discretization
  • Descriptive data mining, finding patterns, clustering
  • Predictive data mining: Finding a prediction task
  • White / black box models
  • Prediction performancs

The emphasis is on getting hands-on experience in the use of data mining and machine learning techniques.

Wiki

The course wiki can be reached via this link.

Slides / Minitalks