Thesis Details

Získávání znalostí z webových logů

Bachelor's Thesis Student: Valaštín Samuel Academic Year: 2021/2022 Supervisor: Bartík Vladimír, Ing., Ph.D.
Language
Slovak
Abstract

This bachelor thesis deals with the problem of knowledge discovery from web logs. The data source in the form of web access logs allows, after appropriate preprocessing, the use of a number of techniques that are designed to deal with knowledge discovery. By applying these techniques to preprocessed data, it is possible to classify user behavior into groups, to discover interesting associations in user behavior, or to discover previously unknown sequences in common user behavior.

Keywords

knowledge discovery, data mining, knowledge discovery from web, access logs, cluster analysis, mining frequent patterns, mining association rules, sequential pattern mining, Python, k-means, BIRCH, DBSCAN, Apriori, FP-Growth, PrefixSpan

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
VALAŠTÍN, Samuel. Získávání znalostí z webových logů. 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/24994/
BibTeX
@bachelorsthesis{FITBT24994,
    author = "Samuel Vala\v{s}t\'{i}n",
    type = "Bachelor's thesis",
    title = "Z\'{i}sk\'{a}v\'{a}n\'{i} znalost\'{i} z webov\'{y}ch log\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/24994/"
}
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