Modelo de análisis de las series de tiempo de contagios de COVID-19 basado en el agrupamiento jerárquico

dc.contributorLeyva Vázquez, Maykel
dc.creatorMontero Castillo, Gisella Belén
dc.date.accessioned2021-09-17T15:17:43Z
dc.date.accessioned2022-10-20T18:31:49Z
dc.date.available2021-09-17T15:17:43Z
dc.date.available2022-10-20T18:31:49Z
dc.date.created2021-09-17T15:17:43Z
dc.date.issued2021
dc.identifierhttp://dspace.ups.edu.ec/handle/123456789/20958
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4579285
dc.description.abstractCurrently, worldwide the COVID-19 virus has generated impacts on all human development activities. There is a worldwide effort by the research community to explore the impact of the pandemic based on available data. Many different disciplines are trying to find solutions and drive strategies for a wide variety of very different crucial problems, including artificial intelligence. This study aims to cluster the various countries describing the course of the COVID-19 outbreak using hierarchical clustering. This paper presents a proposal of innovative development using visual programming to analyze the data acquired from John Hopkin University and the World Bank.
dc.languagespa
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/ec/
dc.rightsopenAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Ecuador
dc.subjectSEGURIDAD DE LA INFORMACIÓN
dc.subjectVULNERABILIDADES
dc.subjectMODELOS DE SEGURIDAD
dc.subjectSISTEMAS DE INFORMACIÓN
dc.subjectEVALUACIÓN DE RIESGOS
dc.titleModelo de análisis de las series de tiempo de contagios de COVID-19 basado en el agrupamiento jerárquico
dc.typebachelorThesis


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