Data Mining Lab Course SS2014

 

Type:

Master Lab Course 10 P, IN2106

Ects:

10

Supervisors

Dr. Lothar Richter, Juan Miguel Cejuela

Rotation:

weekly meeting of 2 hours, time slot: Wednesday 11-13

Rooms:

01.09.014 for the weekly meeting

Language:

English

 

 

Announcements:

Due to Student council meeting from 10 to 12 am there is no class on Wednesday 23rd - Sorry for the late announcement.

First session is on Wednesday, April 9th, 11 am - 1pm in room 01.09.014.

Confirmed Participants can be found here.

Proposed premeeting takes place on Wed, Feb. 5th, 2014, at 11 o'clock in room 01.09.034

Please register also via email to richter@in.tum.de,

All seats filled. Further requests can only be put on the waiting list.

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.

Resources

Lab Wiki

Forum

Slides

Pre-meeting

April 9th - Introduction

April 16th - Slides

April 30th - Slides

Slides Minitalk May 21st

May 28th - Slides

June 18th - Slides

June 25th - Hints for the final presentation