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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Practical Data Mining Problems

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Code Completion Credits Range Language
XP33PPD ZK 4 2+2s Czech
Lecturer:
Olga Štěpánková (guarantor)
Tutor:
Olga Štěpánková (guarantor)
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 2018/2019:
Time-table is not available yet
Time-table for summer semester 2018/2019:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2019-03-25
For updated information see http://bilakniha.cvut.cz/en/predmet12040004.html