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dc.contributor.authorLombardo, Juan Manuel
dc.contributor.authorLópez, Miguel Ángel
dc.contributor.authorMirón, Felipe
dc.contributor.authorVelasco, Susana
dc.contributor.authorSevilla, Juan Pablo
dc.contributor.authorMellado, Juan
dc.date2016
dc.date.accessioned2020-06-24T08:30:00Z
dc.date.available2020-06-24T08:30:00Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10208
dc.description.abstractThe problem of optimization will be addressed in this article, based on the premise that the successful implementation of Big Data solutions requires as a determining factor not only effective -it is assumed- but the efficiency of the responsiveness of management information get the best value offered by the digital and technological environment for gaining knowledge. In adopting Big Data strategies should be identified storage technologies and appropriate extraction to enable professionals and companies from different sectors to realize the full potential of the data. A success story is the solution PInCom: Intelligent-Communications Platform that aims customer loyalty by sending multimedia communications across heterogeneous transmission channels.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 3, nº 6
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/2532es_ES
dc.rightsopenAccesses_ES
dc.subjectdata mininges_ES
dc.subjectoptimizationes_ES
dc.subjectrelational valueses_ES
dc.subjectbig dataes_ES
dc.subjectanalyticses_ES
dc.subjectNoSQLes_ES
dc.subjectIJIMAIes_ES
dc.titlePInCom project: SaaS Big Data Platform for and Communication Channelses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2016.362


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