Thesis Details

Systém pro analýzu biatlonových statistik

Bachelor's Thesis Student: Zeman Ondřej Academic Year: 2021/2022 Supervisor: Bartík Vladimír, Ing., Ph.D.
English title
System For Analysis of Biathlon Statistics
Language
Czech
Abstract

The goal of this bachelor's thesis is to create a web application that downloads biathlon data and statistics and use the technique to get knowledge from data to get interesting and unusual information. In this work are solving descriptive and predictive mining tasks. Clustering algorithms have been used for descriptive mining tasks and for search patterns in course and shooting statistics. Prediction of race results is solved by using multiple linear regression. The application is implemented in Python. Web application is available at https://analysisofbiathlonstatistics.herokuapp.com.

Keywords

Data mining, clustering, prediction, kmeans, DBSCAN, multiply linear regression, Python, Django, data analysis, biathlon

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
16 June 2022
Reviewer
Burgetová Ivana, Ing., Ph.D.
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Citation
ZEMAN, Ondřej. Systém pro analýzu biatlonových statistik. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-16. Supervised by Bartík Vladimír. Available from: https://www.fit.vut.cz/study/thesis/25016/
BibTeX 
@bachelorsthesis{FITBT25016,
    author = "Ond\v{r}ej Zeman",
    type = "Bachelor's thesis",
    title = "Syst\'{e}m pro anal\'{y}zu biatlonov\'{y}ch statistik",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25016/"
}

Theses

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