DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorAnagnostopoulos, Christos-
dc.contributor.authorHadjiefthymiades, Stathes-
dc.date.accessioned2024-07-05T06:58:00Z-
dc.date.available2024-07-05T06:58:00Z-
dc.date.issued2012-06-01-
dc.identifierscopus-84863719431-
dc.identifier.issn1572-8129-
dc.identifier.issn1068-9605-
dc.identifier.other84863719431-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2667-
dc.description.abstractMobile context-aware applications are capable of predicting the context of the user in order to operate proactively and provide advanced services. We propose an efficient spatial context classifier and a short-term predictor for the future location of a mobile user in cellular networks. We introduce different variants of the considered location predictor dealing with location (cell) identifiers and directions. Symbolic location classification is treated as a supervised learning problem. We evaluate the prediction efficiency and accuracy of the proposed predictors through synthetic and real-world traces and compare our solution with existing algorithms for location prediction. Our findings are very promising for the location prediction problem and the adoption of proactive context-aware applications and services.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Wireless Information Networksen_US
dc.subjectContext-aware mobile applicationen_US
dc.subjectEfficient predictionen_US
dc.subjectLocation predictionen_US
dc.subjectSymbolic location classificationen_US
dc.titleEfficient location prediction in mobile cellular networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s10776-011-0166-9en_US
dc.identifier.scopus2-s2.0-84863719431-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume19en_US
dc.relation.issue2en_US
dc.identifier.spage97en_US
dc.identifier.epage111en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
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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