Publication Details

Mining Moving Object Data

ZENDULKA, J.; PEŠEK, M. Mining Moving Object Data. Central European Journal of Computer Science, 2012, vol. 2, no. 3, p. 183-193. ISSN: 1896-1533.
Czech title
Dolování v datech pohybujících se objektů
Type
journal article
Language
English
Authors
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)
Pešek Martin, Ing.
URL
Keywords

data mining, moving object data, trajectory, moving object patterns mining, trajectory outlier detection

Abstract

Currently there is a lot of devices that provide information about moving objects and location-based services that accumulate huge volume of moving object data, including trajectories. This paper deals with two useful analysis tasks - mining moving object 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.

Published
2012
Pages
183–193
Journal
Central European Journal of Computer Science, vol. 2, no. 3, ISSN 1896-1533
DOI
BibTeX
@article{BUT96931,
  author="Jaroslav {Zendulka} and Martin {Pešek}",
  title="Mining Moving Object Data",
  journal="Central European Journal of Computer Science",
  year="2012",
  volume="2",
  number="3",
  pages="183--193",
  doi="10.2478/s13537-012-0018-4",
  issn="1896-1533",
  url="http://link.springer.com/article/10.2478/s13537-012-0018-4"
}
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