DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorAnagnostopoulos, Christos-
dc.contributor.authorKyriakakos, Miltos-
dc.contributor.authorKalousis, Alexandros-
dc.contributor.authorHadjiefthymiades, Stathes-
dc.date.accessioned2024-07-11T09:56:49Z-
dc.date.available2024-07-11T09:56:49Z-
dc.date.issued2007-07-01-
dc.identifierscopus-52249124521-
dc.identifier.isbn1-4244-1325-7-
dc.identifier.other52249124521-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2722-
dc.description.abstractContext-awareness is viewed as one of the most important aspects in the emerging ubiquitous computing paradigm. However, mobile applications are required to operate in pervasive computing environments of dynamic nature. Such applications predict the appropriate context in their environment in order to act efficiently. A context model, which deals with the location prediction of moving users, is proposed. Such model is used for trajectory classification through Machine Learning techniques. Hence, spatial and spatiotemporal context prediction is regarded as context classification based on supervised learning. Finally, two classification schemes are presented, evaluated and compared with other ML schemes in order to support location prediction and decision making.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the International Conference on Pervasive Services (ICPS 2007)en_US
dc.subjectData miningen_US
dc.subjectLocation predictionen_US
dc.subjectMachine learningen_US
dc.titlePath prediction through data miningen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Conference on Pervasive Services (ICPS 2007), 15-20 July 2007, Istanbul, Turkeyen_US
dc.identifier.doi10.1109/PERSER.2007.4283902en_US
dc.identifier.scopus2-s2.0-52249124521-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage128en_US
dc.identifier.epage135en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

24
checked on Nov 16, 2024

Page view(s)

21
checked on Nov 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.