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

http://link.springer.com/article/10.2478/s13537-012-0018-4

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

10.2478/s13537-012-0018-4

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"
}