Data Mining Lab Course WS 2016/17

 

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. VOTE IN DOODLE

Rooms:

01.09.034

Language:

English

Announcements:

Kick-off: October 26th 1-3pm. Room FMI 01.09.034

Opening of the waiting list: After the matching I now maintain a waiting list for people which are still interested in the course. Please enroll via mail to me. Sorry for your inconvenience!

Pre-meeting: Tuesday, Jun 28th, 2 pm, 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

On Github: https://github.com/Rostlab/DM_CS_WS_2016-17

 

Slides

Jan 18th Performace Measures Mini Talk, Hints for Final Presentation

Nov 30th Preprocessing Mini Talk

Nov 9th Basics Mini Talk

Oct 26th Kick-off

Jun 28th Pre-Meeting