DC Field | Value | Language |
---|---|---|
dc.contributor.author | Anagnostopoulos, Theodoros | - |
dc.contributor.author | Anagnostopoulos, Christos | - |
dc.contributor.author | Kyriakakos, Miltos | - |
dc.contributor.author | Kalousis, Alexandros | - |
dc.contributor.author | Hadjiefthymiades, Stathes | - |
dc.date.accessioned | 2024-07-11T09:32:55Z | - |
dc.date.available | 2024-07-11T09:32:55Z | - |
dc.date.issued | 2009-01-01 | - |
dc.identifier | scopus-77953984787 | - |
dc.identifier.isbn | 978-1-60558-644-1 | - |
dc.identifier.other | 77953984787 | - |
dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2721 | - |
dc.description.abstract | Mobile context-aware applications experience a constantly changing environment with increased dynamicity. In order to work efficiently, the location of mobile users needs to be predicted and properly exploited by mobile applications. We propose a spatial context model, which deals with the location prediction of mobile users. Such model is used for the classification of the users' trajectories through Machine Learning (ML) algorithms. Predicting spatial context is treated through supervised learning. We evaluate our model in terms of prediction accuracy w.r.t. specific prediction parameters. The proposed model is also compared with other ML algorithms for location prediction. Our findings are very promising for the efficient operation of mobile context-aware applications. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Proceedings of the International Conference on Pervasive Services (ICPS '09) | en_US |
dc.subject | Context-awareness | en_US |
dc.subject | Location prediction | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Spatial context representation | en_US |
dc.title | Predicting the location of mobile users: A machine learning approach | en_US |
dc.type | Conference Paper | en_US |
dc.relation.conference | International Conference on Pervasive Services (ICPS '09), 13-17 July 2009, London, United Kindom | en_US |
dc.identifier.doi | 10.1145/1568199.1568210 | en_US |
dc.identifier.scopus | 2-s2.0-77953984787 | - |
dcterms.accessRights | 0 | en_US |
dc.relation.dept | Department of Business Administration | en_US |
dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
dc.identifier.spage | 65 | en_US |
dc.identifier.epage | 72 | en_US |
dc.collaboration | University of West Attica (UNIWA) | en_US |
dc.journals | Open Access | en_US |
dc.publication | Peer Reviewed | en_US |
dc.country | Greece | en_US |
local.metadatastatus | not verified | en_US |
item.openairetype | Conference Paper | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Business Administration | - |
crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
crisitem.author.orcid | 0000-0002-5587-2848 | - |
crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου |
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