Mesures de similarité de trajectoires basées sur l'utilisation de patrons spatio-temporels =
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fr
Article de revue
Este ítem está publicado en
Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information. 2012, vol. 17, n° 1, p. 11-34
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Resumen en inglés
Mobile objects are now equipped with sensors allowing real time monitoring of their movements. Nowadays, the data produced by these sensors can be stored in spatio-temporal databases. Data mining on these stored positions ...Leer más >
Mobile objects are now equipped with sensors allowing real time monitoring of their movements. Nowadays, the data produced by these sensors can be stored in spatio-temporal databases. Data mining on these stored positions allows to infer the behaviour of these mobile objects (spatio-temporal patterns) and to analyze positions and trajectories of mobile objects. Using these patterns, unusual situations can be detected. Two kinds of unusual situations are distinguished: unusual positions and unusual trajectories. This article defines similarity index based on spatial and temporal measures using fuzzy logic.< Leer menos
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