Thesis Details

Metody dolování z časových řad

Master's Thesis Student: Krutý Peter Academic Year: 2021/2022 Supervisor: Bartík Vladimír, Ing., Ph.D.
Language
Slovak
Abstract

This thesis is focused on the field of knowledge discovery from data, specifically from time series. Main objective is to research Python programming language support in this area and then design and implement an application that will allow to demonstrate and compare selected methods. Methods are demonstrated in experiments using appropriate data set. The output of the thesis is a comparison of methods for specific tasks and the application implementing selected methods.

Keywords

knowledge discovery from databases, data mining, data analysis, data visualization, time series, decomposition, representation, segmentation, annotation, summarization, forecasting, classification, clustering, search, Python programming language, cryptocurrencies

Department
Degree Programme
Files
Status
defended, grade B
Date
20 June 2022
Reviewer
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Bidlo Michal, Ing., Ph.D. (DCSY FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Kanich Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Citation
KRUTÝ, Peter. Metody dolování z časových řad. Brno, 2022. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-20. Supervised by Bartík Vladimír. Available from: https://www.fit.vut.cz/study/thesis/24879/
BibTeX
@mastersthesis{FITMT24879,
    author = "Peter Krut\'{y}",
    type = "Master's thesis",
    title = "Metody dolov\'{a}n\'{i} z \v{c}asov\'{y}ch \v{r}ad",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/24879/"
}
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