Thesis Details

Získávání znalostí z databází s využitím jazyka R

Bachelor's Thesis Student: Krutý Peter Academic Year: 2019/2020 Supervisor: Bartík Vladimír, Ing., Ph.D.
Language
Slovak
Abstract

This thesis is focused on the field of knowledge discovery from databases. Main objective is to research possibilities of R language and its support in this area. Support is researched by experiments using appropriate data sets. More detailed attention is given to the methods of classification, clustering and association rules learning. The output of the thesis is comparison of methods application in R and defining the suitability of using language for knowledge discovery from databases.

Keywords

knowledge discovery from databases, data mining, R programming language, RStudio, classification, clustering, association rule learning, data analysis, data visualization, decision trees, neural networks, Bayes classification

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
9 July 2020
Reviewer
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kořenek Jan, doc. 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
KRUTÝ, Peter. Získávání znalostí z databází s využitím jazyka R. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-09. Supervised by Bartík Vladimír. Available from: https://www.fit.vut.cz/study/thesis/23036/
BibTeX
@bachelorsthesis{FITBT23036,
    author = "Peter Krut\'{y}",
    type = "Bachelor's thesis",
    title = "Z\'{i}sk\'{a}v\'{a}n\'{i} znalost\'{i} z datab\'{a}z\'{i} s vyu\v{z}it\'{i}m jazyka R",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/23036/"
}
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