Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective
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 sp...
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| Format: | ARTÍCULO DE CONFERENCIA |
| Language: | es_ES |
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Springer
2024
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| Online Access: | http://dspace.ucuenca.edu.ec/handle/123456789/44081 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 |
| _version_ | 1793400623241101312 |
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| author | Cedillo Orellana, Irene Priscila |
| author_facet | Cedillo Orellana, Irene Priscila |
| author_sort | Cedillo Orellana, Irene Priscila |
| collection | DSpace |
| description | 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. |
| format | ARTÍCULO DE CONFERENCIA |
| id | oai:dspace.ucuenca.edu.ec:123456789-44081 |
| institution | Universidad de Cuenca |
| language | es_ES |
| publishDate | 2024 |
| publisher | Springer |
| record_format | dspace |
| spelling | oai:dspace.ucuenca.edu.ec:123456789-440812024-03-05T19:40:39Z Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective Cedillo Orellana, Irene Priscila Methodology TAM Features relevance Data mining Active ageing 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. Cuenca 2024-03-05T19:40:36Z 2024-03-05T19:40:36Z 2023 ARTÍCULO DE CONFERENCIA 978-303137495-1 1865-0929 http://dspace.ucuenca.edu.ec/handle/123456789/44081 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 10.1007/978-3-031-37496-8_8 es_ES application/pdf Springer Communications in Computer and Information Science |
| spellingShingle | Methodology TAM Features relevance Data mining Active ageing Cedillo Orellana, Irene Priscila Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective |
| title | Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective |
| title_full | Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective |
| title_fullStr | Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective |
| title_full_unstemmed | Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective |
| title_short | Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective |
| title_sort | rescuing relevant features from active aging surveys: a data mining perspective |
| topic | Methodology TAM Features relevance Data mining Active ageing |
| url | http://dspace.ucuenca.edu.ec/handle/123456789/44081 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 |
| work_keys_str_mv | AT cedilloorellanairenepriscila rescuingrelevantfeaturesfromactiveagingsurveysadataminingperspective |