Subject description - XP33PPD

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XP33PPD Practical Data Mining Problems
Roles:S Extent of teaching:2P+2S
Department:13133 Language of teaching:CS
Guarantors:Štěpánková O. Completion:ZK
Lecturers:Němý M., Štěpánková O. Credits:4
Tutors:Němý M., Štěpánková O. Semester:L

Anotation:

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.

Course outlines:

Exercises outline:

Literature:

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

Requirements:

Subject is included into these academic programs:

Program Branch Role Recommended semester
DOKP Common courses S
DOKK Common courses S


Page updated 1.12.2021 15:52:52, semester: L/2021-2, L/2020-1, Z,L/2022-3, Z/2021-2, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)