Data Mining Lab Course WS 2019/20

 

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:

Confirmation completed, all spots assigned

Request for confirmation of participation sent out on Tue, Sep 17th. Response due to Sun, Sep 22nd.

The pre-meeting will be held twice because of space constraints on Tue, Jul 16th, and Thu, Jul 18th, from 3 - 4 pm in room FMI 01.09.034. Both meetings share identical information.

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

Premeeting Slides (July 16th/18th)

Kick-Off Slides (Oct 23rd)