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ZENDULKA, J.; PEŠEK, M.
Original Title
Mining Moving Object Data
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
Original 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.
English abstract
Keywords
data mining, moving object data, trajectory, moving object patterns mining, trajectory outlier detection
Key words in English
Authors
RIV year
2013
Released
01.10.2012
ISBN
1896-1533
Periodical
Central European Journal of Computer Science
Volume
2
Number
3
State
Kingdom of the Netherlands
Pages from
183
Pages to
193
Pages count
11
URL
http://link.springer.com/article/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" }