Data Mining Lab Course SS 15

 

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 13-15

Rooms:

00.11.038 for the weekly meeting (except Apr. 29th, May 13th)

Language:

English

Announcements:

Change of room only for May 13th: 02.13.010

Change of room only for Apr. 29th: 10.01.011
Selected datasets published

Kick off on Wednesday, Apr. 15th, at 13.15 o'clock, room 00.11.038 (changed)

2nd premeeting will be held at Friday, Jan 23rd, at 11.30 a.m. in room 01.09.034
Premeeting take place on Wed Jan 21st 15.30 o'clock, 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.

The wiki for the course could be reached via this link.

Slides

2015-04-15 Intro

2015-04-22 Data Set Presentation

2015-04-29 Group Formation

2015-05-06 Data Mining Basics

2015-06-03 Preprocessing

2015-07-01 Performance Measures Hints for Final Presentation