Thesis Details

Modul pro dolování z dat

Bachelor's Thesis Student: Hlosta Martin Academic Year: 2007/2008 Supervisor: Zendulka Jaroslav, doc. Ing., CSc.
English title
Data Mining Module
Language
Czech
Abstract

This thesis concerns knowledge discovery in databases (KDD), especially classification by Support Vector Machines (SVM). System for KDD has been developed at FIT BUT. For KDD process description is used language DMSL. The goal of the thesis was to extend DMSL with respect to SVM classifier, propose, implement and test a module for this system.

Keywords

knowledge discovery in databases, data mining, DMSL, SVM, SMO, classification, Java, MySQL

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
9 June 2008
Reviewer
Stryka Lukáš, Ing.
Committee
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Machalová Jitka, Mgr., Ph.D. (Mendelu), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Citation
HLOSTA, Martin. Modul pro dolování z dat. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-09. Supervised by Zendulka Jaroslav. Available from: https://www.fit.vut.cz/study/thesis/3839/
BibTeX 
@bachelorsthesis{FITBT3839,
    author = "Martin Hlosta",
    type = "Bachelor's thesis",
    title = "Modul pro dolov\'{a}n\'{i} z dat",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/3839/"
}

Theses

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