| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Anagnostopoulos, Theodoros | - |
| dc.contributor.author | Anagnostopoulos, Christos | - |
| dc.contributor.author | Hadjiefthymiades, Stathes | - |
| dc.date.accessioned | 2024-07-05T06:58:00Z | - |
| dc.date.available | 2024-07-05T06:58:00Z | - |
| dc.date.issued | 2012-06-01 | - |
| dc.identifier | scopus-84863719431 | - |
| dc.identifier.issn | 1572-8129 | - |
| dc.identifier.issn | 1068-9605 | - |
| dc.identifier.other | 84863719431 | - |
| dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2667 | - |
| dc.description.abstract | Mobile 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.iso | en | en_US |
| dc.relation.ispartof | International Journal of Wireless Information Networks | en_US |
| dc.subject | Context-aware mobile application | en_US |
| dc.subject | Efficient prediction | en_US |
| dc.subject | Location prediction | en_US |
| dc.subject | Symbolic location classification | en_US |
| dc.title | Efficient location prediction in mobile cellular networks | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | 10.1007/s10776-011-0166-9 | en_US |
| dc.identifier.scopus | 2-s2.0-84863719431 | - |
| 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.relation.volume | 19 | en_US |
| dc.relation.issue | 2 | en_US |
| dc.identifier.spage | 97 | en_US |
| dc.identifier.epage | 111 | 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 | verified | en_US |
| item.fulltext | No Fulltext | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.cerifentitytype | Publications | - |
| item.openairetype | Article | - |
| item.languageiso639-1 | en | - |
| item.grantfulltext | none | - |
| 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: | Articles / Άρθρα | |
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