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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Cedillo Orellana, Irene Priscila | |
dc.date.accessioned | 2024-03-05T19:40:36Z | - |
dc.date.available | 2024-03-05T19:40:36Z | - |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-303137495-1 | |
dc.identifier.issn | 1865-0929 | |
dc.identifier.uri | http://dspace.ucuenca.edu.ec/handle/123456789/44081 | - |
dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85169071775&origin=resultslist&sort=plf-f&src=s&sid=28e63c9186aff1d26af73a216dcc2247&sot=b&sdt=b&s=TITLE-ABS-KEY%28Rescuing+Relevant+Features+from+Active+Aging+Surveys%3A+A+Data+Mining+Perspective%29&sl=75&sessionSearchId=28e63c9186aff1d26af73a216dcc2247 | |
dc.description.abstract | Within the psychological currents, several proposals on active aging have been defined, conceptualizing it as a perspective or differentiated way of aging satisfactorily. These proposals generate indicators that assess the level of physical health, psychological well-being and adequate social and spiritual adaptation. The indicators are quantified based on active ageing surveys whose are differs for each ageing proposal and collects different features of active aging such as: health, cognition, activity, affection, fitness, and satisfaction levels. This methodology is focused on rescuing the relevant factors (features) facilitating the interpretation of the data, avoiding the non-required characteristics. The methodology proposes a set of data mining techniques for different types of data that could be present in the forms of active aging, and seeking to make a concrete proposal, the features of an active aging survey are evaluated, determining a subset of features where their weights make them more relevant in data collection, and finally, this methodology is positively evaluated as a model of acceptance by geriatric psychologists. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. | |
dc.language.iso | es_ES | |
dc.publisher | Springer | |
dc.source | Communications in Computer and Information Science | |
dc.subject | Methodology | |
dc.subject | TAM | |
dc.subject | Features relevance | |
dc.subject | Data mining | |
dc.subject | Active ageing | |
dc.title | Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective | |
dc.type | ARTÍCULO DE CONFERENCIA | |
dc.description.city | Cuenca | |
dc.ucuenca.idautor | 0102815842 | |
dc.identifier.doi | 10.1007/978-3-031-37496-8_8 | |
dc.ucuenca.version | Versión publicada | |
dc.ucuenca.areaconocimientounescoamplio | 06 - Información y Comunicación (TIC) | |
dc.ucuenca.afiliacion | Cedillo, I., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador | |
dc.ucuenca.volumen | Volumen 1856 | |
dc.ucuenca.indicebibliografico | SCOPUS | |
dc.ucuenca.factorimpacto | 0.19 | |
dc.ucuenca.cuartil | Q4 | |
dc.ucuenca.numerocitaciones | 0 | |
dc.ucuenca.areaconocimientofrascatiamplio | 2. Ingeniería y Tecnología | |
dc.ucuenca.pais | ECUADOR | |
dc.ucuenca.conferencia | 7th and 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2021 and ICT4AWE 2022 | |
dc.ucuenca.areaconocimientofrascatiespecifico | 2.2 Ingenierias Eléctrica, Electrónica e Información | |
dc.ucuenca.areaconocimientofrascatidetallado | 2.2.4 Ingeniería de La Comunicación y de Sistemas | |
dc.ucuenca.areaconocimientounescoespecifico | 061 - Información y Comunicación (TIC) | |
dc.ucuenca.areaconocimientounescodetallado | 0612 - Base de Datos, Diseno y Administración de Redes | |
dc.ucuenca.fechainicioconferencia | 2021-04-24 | |
dc.ucuenca.fechafinconferencia | 2021-04-26 | |
dc.ucuenca.organizadorconferencia | Wrocław University of Economics Institute of Business Informatics, Poland and Macquarie University, Australia | |
dc.ucuenca.comiteorganizadorconferencia | Wrocław University of Economics Institute of Business Informatics, Poland and Macquarie University, Australia | |
dc.ucuenca.urifuente | https://www.springer.com/series/7899 | |
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