Data Mining Lab Course SS2013

 

Type:

Master Lab Course 10 P, IN2106

Ects:

10

Supervisors

Dr. Lothar Richter, Juan Miguel Cejuela

Rotation:

weekly meeting of 2 hours, time slot is defined with participants

Rooms:

01.08.021

Language:

English

 

 

Announcements:

 

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

https://dataminer.informatik.tu-muenchen.de/trac/wiki