Thesis Details

Získávání znalostí z objektově relačních databází

Master's Thesis Student: Chytka Karel Academic Year: 2007/2008 Supervisor: Chmelař Petr, Ing.
English title
Knowledge Discovery in Object Relational Databases
Language
Czech
Abstract

The goal of this master's thesis is to acquaint with a problem of a knowledge discovery and objectrelational data classification. It summarizes problems which are connected with mining spatiotemporal data. There is described data mining kernel algorithm SVM. The second part solves classification method implementation. This method solves data mining in a Caretaker trajectory database. This thesis contains application's implementation for spatio-temporal data preprocessing, their organization in database and presentation too.

Keywords

Knowledge discovery, Object-relational data, Spatio-temporal data, Trajectories, Support Vector Machines (SVM), Kernel function, Machine learning, Kalman filter.

Department
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade A
Date
17 June 2008
Reviewer
Committee
Kunovský Jiří, doc. Ing., CSc. (DITS FIT BUT), předseda
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Motyčka Arnošt, doc. Ing., CSc. (Mendelu), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), člen
Citation
CHYTKA, Karel. Získávání znalostí z objektově relačních databází. Brno, 2008. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-17. Supervised by Chmelař Petr. Available from: https://www.fit.vut.cz/study/thesis/5052/
BibTeX
@mastersthesis{FITMT5052,
    author = "Karel Chytka",
    type = "Master's thesis",
    title = "Z\'{i}sk\'{a}v\'{a}n\'{i} znalost\'{i} z objektov\v{e} rela\v{c}n\'{i}ch datab\'{a}z\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/5052/"
}
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