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An Efficient Representation of Enriched Temporal Trajectories
dc.contributor.author | Brisaboa, Nieves R. | |
dc.contributor.author | Fariña, Antonio | |
dc.contributor.author | Otero-González, Diego | |
dc.contributor.author | Varela Rodeiro, Tirso | |
dc.date.accessioned | 2021-10-15T18:18:27Z | |
dc.date.available | 2021-10-15T18:18:27Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Brisaboa, N.; Fariña, A.; Otero-González, D. and Rodeiro, T. (2021). An Efficient Representation of Enriched Temporal Trajectories. In Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA, ISBN 978-989-758-521-0; ISSN 2184-285X, pages 49-59. DOI: 10.5220/0010558700490059 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/28649 | |
dc.description.abstract | [Abstract] We present a novel representation of enriched trajectories of a mobile workforce management system. In this system, employees are tracked during their working day and both their routes and the tasks performed at each time instant are recorded. Our proposal tackles the representation of this information paying special attention to the space footprint without neglecting query time. We performed experiments using real and synthetic datasets where we show the compression effectiveness as well as the efficiency at query time. Our results showed that our proposal yields promising results in terms of the space needed to represent both users’ locations and activities while performing access queries to the original data within microseconds. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; IG240.2020.1.185 | es_ES |
dc.description.sponsorship | Xunta de Galicia; IN852A 2018/14 | es_ES |
dc.description.sponsorship | Partially funded by the CITIC research center funded by Xunta/FEDER-UE 2014-2020 Program, grant ED431G 2019/01. MICIU (PGE/ERDF) [Datos 4.0: TIN2016-78011-C4-1-R; STEPS: RTC-2017-5908-7; BIZDEVOPS: RTI2018-098309-B-C32]. IGAPE/Xunta (FEDER-UE) 2014-2020 [IG240.2020.1.185]. Xunta/GAIN (ERDF) [GEMA: IN852A 2018/14] and by FPI Program [BES-2017-081390]. | |
dc.description.uri | https://www.scitepress.org/ProceedingsDetails.aspx?ID=H6opWeZtwKs=&t=1 | |
dc.language.iso | eng | es_ES |
dc.publisher | SciTePress | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2016-78011-C4-1-R/ES/DATOS 4.0: RETOS Y SOLUCIONES-UDC | |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTC-2017-5908-7/ES/STEPS. Soluciones Tecnológicas para la Evolución en la Prestación de Servicios en campo/ | |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098309-B-C32/ES/BIZDEVOPS-GLOBAL: UN FRAMEWORK TECNOLOGICO Y METODOLOGICO SOSTENIBLE PARA EL DESARROLLO DE SOFTWARE ALINEADO CON EL NEGOCIO EN DEVOPS GLOBAL | |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BES-2017-081390/ES/ | |
dc.relation.uri | https://doi.org/10.5220/0010558700490059 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Compression | es_ES |
dc.subject | Data Management | es_ES |
dc.subject | Trajectories | es_ES |
dc.subject | Correlated Sequences | es_ES |
dc.title | An Efficient Representation of Enriched Temporal Trajectories | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.startPage | 49 | es_ES |
UDC.endPage | 59 | es_ES |
dc.identifier.doi | 10.5220/0010558700490059 | |
UDC.conferenceTitle | 10th International Conference on Data Science, Technology and Applications, DATA 2021 | es_ES |