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. .
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. .

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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