Thesis Details

Přehled současných přístupů ke klasifikacím

Bachelor's Thesis Student: Brezánský Tomáš Academic Year: 2020/2021 Supervisor: Zbořil František V., doc. Ing., CSc.
English title
Overview of Actual Approaches to Classifications
Language
Czech
Abstract

This bachelor thesis deals with an overview of current approaches to classifications. It describes various approaches to classifications and their algorithms, focuses on neural networks, Bayesian classifiers and decision trees. The main task of this work is to perform experiments with three classification algorithms, namely, the ID3 algorithm, the RCE neural networkand the naive Bayesian classifier. The work contains experiments with given algorithms and evaluates the obtained results.

Keywords

classification, classification algorithms, neural networks, decision trees, naive bayes classifier, ID3 algorithm, Restricted Coulomb Energy (RCE) neural network

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
15 June 2021
Reviewer
Rozman Jaroslav, Ing., Ph.D.
Committee
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
BREZÁNSKÝ, Tomáš. Přehled současných přístupů ke klasifikacím. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-15. Supervised by Zbořil František V.. Available from: https://www.fit.vut.cz/study/thesis/23735/
BibTeX 
@bachelorsthesis{FITBT23735,
    author = "Tom\'{a}\v{s} Brez\'{a}nsk\'{y}",
    type = "Bachelor's thesis",
    title = "P\v{r}ehled sou\v{c}asn\'{y}ch p\v{r}\'{i}stup\r{u} ke klasifikac\'{i}m",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23735/"
}

Theses

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