Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/552
DC FieldValueLanguage
dc.contributor.authorMansour, Elioen_US
dc.contributor.authorTekli, Gilberten_US
dc.contributor.authorArnould, Philippeen_US
dc.contributor.authorChbeir, Richarden_US
dc.contributor.authorCardinale, Yudithen_US
dc.date.accessioned2020-12-23T08:32:19Z-
dc.date.available2020-12-23T08:32:19Z-
dc.date.issued2017-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/552-
dc.description.abstractIn the context of social media, existent works offer social-event-based organization of multimedia objects (e.g., photos, videos) by mainly considering spatio-temporal data, while neglecting other user-related information (e.g., people, user interests). In this paper we propose an automated, extensible, and incremental Feature-centric Social Event Detection (F-SED) approach, based on Formal Concept Analysis (FCA), to organize shared multimedia objects on social media platforms and sharing applications. F-SED simultaneously considers various event features (e.g., temporal, geographical, social (user related)), and uses the latter to detect different feature-centric events (e.g., user-centric, location-centric). Our experimental results show that detection accuracy is improved when, besides spatio-temporal information, other features, such as social, are considered. We also show that the performance of our prototype is quasi-linear in most cases.en_US
dc.format.extent17 p.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.subjectSocial Event Detectionen_US
dc.subjectSemantic clusteringen_US
dc.subjectMultimedia sharingen_US
dc.subjectFormal Concept Analysisen_US
dc.subject.lcshSocial networksen_US
dc.titleF-SED : Feature-Centric Social Event Detectionen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Conference on Database and Expert Systems Applications (28-31 August 2017 : Lyon, France)en_US
dc.contributor.affiliationDepartment of Mechatronics Engineeringen_US
dc.description.startpage409en_US
dc.description.endpage426en_US
dc.date.catalogued2019-01-29-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://link.springer.com/chapter/10.1007/978-3-319-64471-4_33en_US
dc.identifier.OlibID189307-
dc.relation.ispartoftextDatabase and Expert Systems Applications : 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part IIen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgIssam Fares Faculty of Technology-
Appears in Collections:Department of Mechatronics Engineering
Show simple item record

Google ScholarTM

Check


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