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hal.structure.identifierUniversité de Tours [UT]
dc.contributor.authorDEVOGELE, Thomas
hal.structure.identifierDalhousie University [Halifax]
dc.contributor.authorETIENNE, Laurent
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorRAY, Cyril
dc.date.accessioned2021-05-14T09:56:41Z
dc.date.available2021-05-14T09:56:41Z
dc.date.issued2013-08
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77811
dc.description.abstractEnThe maritime environment still represents an unexploited potential for modelling, management and understanding of mobility data. The environment is diverse, open but partly ruled, and covers a large spectrum of ships from small sailing-boats to super tankers which generally exhibit type-related behaviours. Similarly to terrestrial or aerial domains, several real-time positioning systems, such as the Automatic Identification System (AIS), have been developed for keeping track of vessel movements. However the huge amounts of data provided by these reporting systems are rarely used for knowledge discovery. This chapter aims at discussing different aspects of maritime mobilities understanding. This chapter enables readers to, first, understand the intrinsic behaviour of maritime positioning systems and then proposes a methodology to illustrate the different steps leading to trajectory patterns for the understanding of outlier detection.
dc.language.isoen
dc.publisherCambridge University Press
dc.source.titleMobility Data: Modelling, Management, and Understanding
dc.subject.enSpatio-Temporal Pattern Mining
dc.subject.enAIS
dc.subject.enMobility Data
dc.typeChapitre d'ouvrage
dc.subject.halInformatique [cs]/Base de données [cs.DB]
bordeaux.page224-243
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
hal.identifierhal-01170999
hal.version1
dc.title.itMaritime monitoring
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01170999v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Mobility%20Data:%20Modelling,%20Management,%20and%20Understanding&rft.date=2013-08&rft.spage=224-243&rft.epage=224-243&rft.au=DEVOGELE,%20Thomas&ETIENNE,%20Laurent&RAY,%20Cyril&rft.genre=unknown


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