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dc.contributor.authorMonino, Jean Louises_ES
dc.contributor.authorSedkaoui, Sorayaes_ES
dc.date.accessioned2017-01-09T12:03:56Z
dc.date.available2017-01-09T12:03:56Z
dc.date.issued2016-11-15es_ES
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5 (2016)es_ES
dc.identifier.issn2255-2863es_ES
dc.identifier.urihttp://hdl.handle.net/10366/132093
dc.description.abstractThis work explores a new application which can effectively meet different localization accuracy requirements of most data location services studying the interactions between customers and suppliers. It helps to have the status or position of what is sought with respect to an address that summarizes thus a reference point which is the point of research. This proposal explains what snail algorithm is and how we can benefit from using it for the localization of information for business applications especially in the field of analytics. A business application using our algorithm has been developed by the Autour.com company (located in the department of Herault, Montpellier city) to illustrate its feasibility and availability. The results show that our algorithm can improve the localization accuracy.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherEdiciones Universidad de Salamanca (EspaÑa)es_ES
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputaciónes_ES
dc.subjectInformóticaes_ES
dc.subjectComputinges_ES
dc.subjectInformation Technologyes_ES
dc.titleThe Algorithm of the Snail: An Example to Grasp the Window of Opportunity to Boost Big Dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivs 3.0 Unported