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dc.contributor.authorPazmiño, Ana María (1)
dc.contributor.authorDíaz, César Orlando
dc.date2018
dc.date.accessioned2020-09-08T14:16:18Z
dc.date.available2020-09-08T14:16:18Z
dc.identifier.isbn9781538694596
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10537
dc.descriptionPonencia de la conferencia "1st International Conference on Applied Informatics Workshops, ICAIW 2018 - Joint Workshop on Data Engineering and Analytics, WDEA 2018, Workshop on Smart Sustainable Cities, WSSC 2018, Workshop on Intelligent Transportation Systems, WITS 2018 and Workshop on Empirical Experiences on Software Reuse, WEESR 2018; Universidad de Bogota Jorge Tadeo LozanoBogota; Colombia; 1 November 2018 through 3 November 2018"es_ES
dc.description.abstractThis paper presents the experience of the data obtained on labor demand in Ecuador, the data were taken from a source of data publications made in a job posting website, encouraging the use of Web Scraping tools for the data online extraction in websites that allow this activity. This experience illustrated knowledge related to labor demand published in Computrabajo during the first six months of 2017; this data analysis revealed a marked tendency of vacancies to cover certain areas of performance, as well as in which provinces of Ecuador the labor demand is greater, this is according to the source analyzed. Finally, the analysis contributes to the propose and asses future public policies to improve distribution of labor demand.es_ES
dc.language.isoenges_ES
dc.publisher2018 ICAI Workshops (ICAIW)es_ES
dc.relation.urihttps://ieeexplore.ieee.org/document/8555004/authors#authorses_ES
dc.rightsrestrictedAccesses_ES
dc.subjectInternetes_ES
dc.subjectdata visualizationes_ES
dc.subjectdata mininges_ES
dc.subjecttask analysises_ES
dc.subjectemploymentes_ES
dc.subjectportalses_ES
dc.subjectdata analysises_ES
dc.subjectScopus(2)es_ES
dc.subjectWOS(2)es_ES
dc.titleAnalysis and Data Visualization of Labor Demand in Ecuadorian Territoryes_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1109/ICAIW.2018.8555004


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