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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, 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
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
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"
}
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