• Repositorio Institucional Universidad de Pamplona
  • Tesis de maestría y doctorado
  • Facultad de Ingenierías y Arquitectura
  • Maestría en Gestión de Proyectos Informáticos
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    dc.contributor.authorContreras Pabon, Duber Mauricio.-
    dc.date.accessioned2022-11-21T20:34:18Z-
    dc.date.available2018-10-30-
    dc.date.available2022-11-21T20:34:18Z-
    dc.date.issued2019-
    dc.identifier.citationContreras Pabon, D. M. (2018). Estado del arte de la minería de datos aplicada a la inteligencia de negocios [Trabajo de Grado Maestría, Universidad de Pamplona]. Repositorio Hulago Universidad de Pamplona. http://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/4630es_CO
    dc.identifier.urihttp://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/4630-
    dc.descriptionEste documento presenta una completa revisión bibliográfica sobre trabajos desarrollados, las últimas tendencias, técnicas y aplicaciones de la minería de datos enfocada a la inteligencia de negocios; una revisión teórica que estableció el conocimiento generalmente aceptado, se efectuó exploración de la literatura generada en los últimos 5 años, tanto a nivel nacional como internacional. La revisión fue organizada y analizada desde diferentes puntos de vista, como el tiempo (orden cronológico), las fuentes de datos, selección, exploración y visualización de los datos. Una categorización de los aportes en relación con los modelos predictivos y descriptivos en torno a la minería de datos, categorizando técnicas orientadas a: clasificación, clustering, regresión y reglas de asociación. Fue posible establecer el estado actual del área de estudio y así mismo plantear posibles trabajos futuros, potenciales campos de aplicación, oportunidades de negocio y líneas de profundización e investigación.es_CO
    dc.description.abstractThis document presents a complete bibliographical review on developed works, the latest trends, techniques and applications of data mining focused on business intelligence; a theoretical review that established the generally accepted knowledge, was carried out exploration of the literature generated in the last 5 years, both nationally and internationally. The review was organized and analyzed from different points of view, such as time (chronological order), data sources, selection, exploration and visualization of the data. A categorization of the contributions in relation to the predictive and descriptive models around data mining, categorizing techniques oriented to: classification, clustering, regression and association rules. It was possible to establish the current status of the study area and also propose possible future work, potential fields of application, business opportunities and lines of research and deepening.es_CO
    dc.format.extent83es_CO
    dc.format.mimetypeapplication/pdfes_CO
    dc.language.isoeses_CO
    dc.publisherUniversidad de Pamplona – Facultad de Ingenierías y Arquitectura.es_CO
    dc.subjectMinería de datos,es_CO
    dc.subjectInteligencia de negocios,es_CO
    dc.subjectTécnicas de minería de datos,es_CO
    dc.subjectHerramientas de minería de datos.es_CO
    dc.titleEstado del arte de la minería de datos aplicada a la inteligencia de negocios.es_CO
    dc.typehttp://purl.org/coar/resource_type/c_bdcces_CO
    dc.date.accepted2018-07-30-
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