Thesis Details
Získávání znalostí z databází
This bachelor's thesis deals with knowledge discovery in databases and is focused on Bayesian classification. The main goal of this thesis was to implement one of the methods of data mining and to verify its functionality on chosen data set. The application is implemented in programming language Java. MySQL database was chosen as a data storage for data set prepared to extract patterns from it. Information needed to start data mining task are gained from input DMSL document. The results of data mining are also stored into output DMSL document. The DMSL language had to be extended because of implemented method, Bayesian classification.
Knowledge discovery in databases, data mining, classification, Bayesian classification, probability, Bayes theorem, languages for data mining, PMML, DMSL, Java, JDBC, MySQL
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Linhart Miroslav, doc. Ing., CSc. (DCSY FIT BUT), člen
Malo Roman, Ing., Ph.D. (Mendelu), člen
Sumec Stanislav, Ing., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT5258,
author = "Tom\'{a}\v{s} Jirm\'{a}sek",
type = "Bachelor's thesis",
title = "Z\'{i}sk\'{a}v\'{a}n\'{i} znalost\'{i} z datab\'{a}z\'{i}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2007,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/5258/"
}