DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorAnagnostopoulos, Christos-
dc.contributor.authorHadjiefthymiades, Stathes-
dc.contributor.authorZaslavsky, Arkady-
dc.date.accessioned2024-07-05T07:42:20Z-
dc.date.available2024-07-05T07:42:20Z-
dc.date.issued2015-03-01-
dc.identifierscopus-84925532908-
dc.identifier.issn1572-8129-
dc.identifier.issn1068-9605-
dc.identifier.other84925532908-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2674-
dc.description.abstractWe treat the problem of movement prediction as a classification task. We assume the existence of a (gradually populated and/or trained) knowledge base and try to compare the movement pattern of a certain object with stored information in order to predict its future location. We introduce a novel distance metric function based on weighted spatial and velocity context used for location prediction. The proposed distance metric is compared with other distance metrics in the literature on real traffic data and reveals its superiority.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Wireless Information Networksen_US
dc.subjectMovement predictionen_US
dc.subjectSequential trajectory classificationen_US
dc.subjectWeighted spatial and velocity contexten_US
dc.titleOn-Line Location Prediction Exploiting Spatial and Velocity Contexten_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s10776-014-0259-3en_US
dc.identifier.scopus2-s2.0-84925532908-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume22en_US
dc.relation.issue1en_US
dc.identifier.spage29en_US
dc.identifier.epage40en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeArticle-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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