Thesis Details

Získávání víceúrovňových asociačních pravidel

Bachelor's Thesis Student: Nguyenová Thanh Lam Academic Year: 2021/2022 Supervisor: Bartík Vladimír, Ing., Ph.D.
English title
Mining Multiple Level Association Rules
Language
Czech
Abstract

This bachelor thesis deals with multiple level association rules mining. The aim of this work is to focus on available algorithms for mining multiple level association rules and to implement an application with a graphical user interface that will demonstrate the functionality of these algorithms. Five algorithms based on the Apriori algorithm were chosen. Experiments with each algorithm were performed using the application and the results were compared and evaluated at the end of the thesis.

Keywords

Knowledge discovery in databases, data mining, market basket analysis, association rules, multiple level association rules, frequent itemsets, Apriori algorithm, support, confidence

Department
Degree Programme
Files
Status
defended, grade C
Date
16 June 2022
Reviewer
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
NGUYENOVÁ, Thanh. Získávání víceúrovňových asociačních pravidel. 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/25003/
BibTeX
@bachelorsthesis{FITBT25003,
    author = "Lam Thanh Nguyenov\'{a}",
    type = "Bachelor's thesis",
    title = "Z\'{i}sk\'{a}v\'{a}n\'{i} v\'{i}ce\'{u}rov\v{n}ov\'{y}ch asocia\v{c}n\'{i}ch pravidel",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25003/"
}
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