Thesis Details

Dolování neobvyklého chování v datech trajektorií

Master's Thesis Student: Koňárek Petr Academic Year: 2016/2017 Supervisor: Zendulka Jaroslav, doc. Ing., CSc.
English title
Mining Anomalous Behaviour in Trajectory Data
Language
Czech
Abstract

The goal of this work is to provide an overview of approaches for mining anomalous behavior in trajectory data. Next part is proposes a mining task for outliner detection in trajectories and selects appropriate methods for this task. Selected methods are implemented as application for outliner trajectories detection.

Keywords

trajectory, trajecory data mining, trajectory outlier detection, trajectory anomaly detection, GPS, trajectory maping, TOP-EYE, iBoat, TRAOD

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology, Field of Study Information Systems
Files
Status
defended, grade C
Date
20 June 2017
Reviewer
Burgetová Ivana, Ing., Ph.D.
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Balík Miroslav, Ing., Ph.D. (FIT CTU), člen
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
KOŇÁREK, Petr. Dolování neobvyklého chování v datech trajektorií. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-20. Supervised by Zendulka Jaroslav. Available from: https://www.fit.vut.cz/study/thesis/19550/
BibTeX 
@mastersthesis{FITMT19550,
    author = "Petr Ko\v{n}\'{a}rek",
    type = "Master's thesis",
    title = "Dolov\'{a}n\'{i} neobvykl\'{e}ho chov\'{a}n\'{i} v datech trajektori\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19550/"
}

Theses

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