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The digital divide in light of sustainable development: An approach through advanced machine learning techniques
Cita
Hidalgo Nuchera, Antonio 
ORCID: https://orcid.org/0000-0002-3598-9862, Gabaly Marquez, Samuel, Morales Alonso, Gustavo ORCID: https://orcid.org/0000-0001-5753-495X and Urueña López, Alberto ORCID: https://orcid.org/0000-0001-8866-882X
(2019).
The digital divide in light of sustainable development: An
approach through advanced machine learning techniques.
En: "Ineka 2019", 11-13 Jun 2019, Verona, Italia. pp. 1-21.
ORCID: https://orcid.org/0000-0002-3598-9862, Gabaly Marquez, Samuel, Morales Alonso, Gustavo ORCID: https://orcid.org/0000-0001-5753-495X and Urueña López, Alberto ORCID: https://orcid.org/0000-0001-8866-882X
(2019).
The digital divide in light of sustainable development: An
approach through advanced machine learning techniques.
En: "Ineka 2019", 11-13 Jun 2019, Verona, Italia. pp. 1-21.
Descripción
| Título: | The digital divide in light of sustainable development: An approach through advanced machine learning techniques |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | Ineka 2019 |
| Fechas del Evento: | 11-13 Jun 2019 |
| Lugar del Evento: | Verona, Italia |
| Título del Libro: | Ineka 2019 |
| Fecha: | 2019 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Industriales (UPM) |
| Departamento: | Ingeniería de Organización, Administración de Empresas y Estadística |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
The objective of this study is to analyze the main socioeconomic digital skills drivers of the Spanish population using advanced data analysis techniques. This information allows us to identify if the population has training needs in relation to their digital competences which will have a positive influence on improving the level of sustainable development of the country.
Más información
| ID de Registro: | 64669 |
|---|---|
| Identificador DC: | https://oa.upm.es/64669/ |
| Identificador OAI: | oai:oa.upm.es:64669 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 29 Oct 2020 16:59 |
| Ultima Modificación: | 02 May 2024 17:54 |
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