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Zendulka, J.: Mining Moving Object Data, In: Proceedings of the Eleventh International Conference on Informatics, Košice, SK, FEI TU v Košiciach, 2011, p. 16-21, ISBN 978-80-89284-94-8
Publication language:english
Original title:Mining Moving Object Data
Title (cs):Dolování v datech pohybujících se objektů
Pages:16-21
Proceedings:Proceedings of the Eleventh International Conference on Informatics
Conference:Informatics 2011 - 11th International Scientific Conference on Informatics
Place:Košice, SK
Year:2011
ISBN:978-80-89284-94-8
Publisher:Faculty of Electrical Engineering and Informatics, University of Technology Košice
Keywords
data mining, moving object, trajectory pattern, trajectory outlier
Annotation
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.
Abstract
Currently there is a lot of devices that provide information about objects 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 when we applied it on two real-world data sets.
BibTeX:
@INPROCEEDINGS{
   author = {Jaroslav Zendulka},
   title = {Mining Moving Object Data},
   pages = {16--21},
   booktitle = {Proceedings of the Eleventh International Conference on
	Informatics},
   year = {2011},
   location = {Košice, SK},
   publisher = {Faculty of Electrical Engineering and Informatics,
	University of Technology Košice},
   ISBN = {978-80-89284-94-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9799}
}

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