dc.creatorLombardo, Juan Manuel
dc.creatorLópez, Miguel Ángel
dc.creatorMirón, Felipe
dc.creatorVelasco, Susana
dc.creatorSevilla, Juan Pablo
dc.creatorMellado, Juan
dc.date.accessioned2020-06-24T08:30:00Z
dc.date.accessioned2023-03-07T19:27:17Z
dc.date.available2020-06-24T08:30:00Z
dc.date.available2023-03-07T19:27:17Z
dc.date.created2020-06-24T08:30:00Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/10208
dc.identifierhttps://doi.org/10.9781/ijimai.2016.362
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5904546
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.
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 3, nº 6
dc.relationhttps://www.ijimai.org/journal/bibcite/reference/2532
dc.rightsopenAccess
dc.subjectdata mining
dc.subjectoptimization
dc.subjectrelational values
dc.subjectbig data
dc.subjectanalytics
dc.subjectNoSQL
dc.subjectIJIMAI
dc.titlePInCom project: SaaS Big Data Platform for and Communication Channels
dc.typearticle


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