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ZENDULKA, J.
Originální název
Mining Moving Object Data
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
Currently there is a lot of devices that provide information about objects and this together with location-based services accumulate huge volume of moving object data, including trajectories. This paper deals with two useful analysis tasks - mining moving object data patterns and trajectory outlier detection. We also present our experience with the TOP-EYE trajectory outlier detection algorithm that we applied on two real-world data sets.
Klíčová slova
data mining, moving object, trajectory pattern, trajectory outlier
Autoři
Rok RIV
2011
Vydáno
15. 11. 2011
Nakladatel
Faculty of Electrical Engineering and Informatics, University of Technology Košice
Místo
Košice
ISBN
978-80-89284-94-8
Kniha
Proceedings of the Eleventh International Conference on Informatics
Strany od
16
Strany do
21
Strany počet
6
BibTex
@inproceedings{BUT76480, author="Jaroslav {Zendulka}", title="Mining Moving Object Data", booktitle="Proceedings of the Eleventh International Conference on Informatics", year="2011", pages="16--21", publisher="Faculty of Electrical Engineering and Informatics, University of Technology Košice", address="Košice", isbn="978-80-89284-94-8" }