Data Mining Lab Course WS 2017/18

 

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:

Now that the matching is over, I maintain a wait list for recycled spots. Candidates will be contacted not before end of September.

Kick-off: October 18th. Room FMI 00.08.036 (changed)

Pre-meeting: Wednesday, Jul 12th, 3 pm and Thursday, Jul 13th, 2 pm, both equivalent, room: 01.09.034
Prerequisites: Basic knowledge in data mining / machine learning is preferred

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