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Data mining

Data mining
157-0386/01
čeština Data mining
157-0386/02
čeština

Summary

Students will be able to understand the main frame of the complex data mining topic and use the suitable methods in mining relevant information from various data sources. Student will be also able to discuss data sources, data preparation, selecting the right method, realise tasks in data mining software tools and defence their findings.

Literature

BRAMER, Max. Principles of data mining. London: Springer-Verlag, 2020. ISBN: 978-1-4471-7492-9.
LENDAVE Vijaysinh. Beginner's Guide to WEKA - A Tool for ML and Analytics. Delhi: Analztics India, 2023 - online podporní material.

Advised literature

KUMAR Jugnesh. Data Warehouse and Data Mining: Concepts, techniques and real life applications. Uttar Pradesh: PB Publications, 2023. ISBN: 9355517343 .
HUDEC, Miroslav. Fuzziness in Information Systems - How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization. Cham: Springer, 2016. ISBN 978-3-319-42516-0 
AGGRAWAL, Charu. Data Mining: The Textbook. Cham: Springer, 2015. ISBN 978-3-319-14141-1 .


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Language of instruction čeština, čeština
Code 157-0386
Abbreviation DM
Course title Data mining
Coordinating department Department of Systems Engineering and Informatics
Course coordinator doc. dr hab. Maria Antonina Mach-Król