FAST SS-ILM: A COMPUTATIONALLY EFFICIENT ALGORITHM to DISCOVER SOCIALLY IMPORTANT LOCATIONS

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dc.contributor.authorDokuz A.S.
dc.contributor.authorCelik M.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2017
dc.departmentNiğde ÖHÜ
dc.description4th International GeoAdvances Workshop - GeoAdvances 2017: ISPRS Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling -- 14 October 2017 through 15 October 2017 -- -- 131995
dc.description.abstractSocially important locations are places which are frequently visited by social media users in their social media lifetime. Discovering socially important locations provide several valuable information about user behaviours on social media networking sites. However, discovering socially important locations are challenging due to data volume and dimensions, spatial and temporal calculations, location sparseness in social media datasets, and inefficiency of current algorithms. In the literature, several studies are conducted to discover important locations, however, the proposed approaches do not work in computationally efficient manner. In this study, we propose Fast SS-ILM algorithm by modifying the algorithm of SS-ILM to mine socially important locations efficiently. Experimental results show that proposed Fast SS-ILM algorithm decreases execution time of socially important locations discovery process up to 20 %. © Authors 2017.
dc.description.sponsorshipThis research was supported by the Research Fund of Erciyes University, Project Number: FDK-2017-7233.
dc.identifier.doi10.5194/isprs-annals-IV-4-W4-197-2017
dc.identifier.endpage202
dc.identifier.issn2194-9042
dc.identifier.issue4W4
dc.identifier.scopus2-s2.0-85037131801
dc.identifier.scopusqualityN/A
dc.identifier.startpage197
dc.identifier.urihttps://dx.doi.org/10.5194/isprs-annals-IV-4-W4-197-2017
dc.identifier.urihttps://hdl.handle.net/11480/1769
dc.identifier.volume4
dc.identifier.wosWOS:000568997100030
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherCopernicus GmbH
dc.relation.ispartofISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectdata mining
dc.subjectsocial important locations mining
dc.subjectspatial social media mining
dc.subjectTwitter
dc.titleFAST SS-ILM: A COMPUTATIONALLY EFFICIENT ALGORITHM to DISCOVER SOCIALLY IMPORTANT LOCATIONS
dc.typeConference Object

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