Practical Data Mining Problems

Lecturer:

Olga Štěpánková, Zdeněk Kouba (gar.)

Tutor:

Olga Štěpánková, Zdeněk Kouba (gar.)

Supervisor:

Department of Cybernetics

Synopsis:

The course is focused on solving of practical data mining problems. Lectures

deal with data transformation, pre-processing and verification, selection of

a suitable data mining algorithm and data mining process evaluation and

results interpretation. The attention is paid to solving of an individual

data mining problem based on real-life data under supervision of the

lecturer.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

Larose D.T.: Discovering Knowledge in Data, Wiley-Interscience 2005

Note:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

Time-table is not available yet

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)