Publication Details

Mining Moving Object Data

ZENDULKA Jaroslav and PEŠEK Martin. Mining Moving Object Data. Central European Journal of Computer Science, vol. 2, no. 3, 2012, pp. 183-193. ISSN 1896-1533. Available from: http://link.springer.com/article/10.2478/s13537-012-0018-4

Czech title

Dolování v datech pohybujících se objektů

Type

journal article

Language

english

Authors

Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT)
Pešek Martin, Ing. (DIFS FIT BUT)

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

Publisher

Springer Verlag

DOI

10.2478/s13537-012-0018-4

BibTeX

@ARTICLE{FITPUB9879,
   author = "Jaroslav Zendulka and Martin Pe\v{s}ek",
   title = "Mining Moving Object Data",
   pages = "183--193",
   journal = "Central European Journal of Computer Science",
   volume = 2,
   number = 3,
   year = 2012,
   ISSN = "1896-1533",
   doi = "10.2478/s13537-012-0018-4",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9879"
}