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Advisor(s)
Abstract(s)
Population aging is one of the greatest triumphs of humanity, also is both a major challenge. The number of older workers in the European Union (EU) will increase over the next decades, the active population of the EU points to a growth of approximately 16.2% of the age group of 55-64 years between 2010 and 2030, being contrary to tendency of other age groups, with a reduction of 4% to 5%. This demographic change is due to the decline in fertility rates and increased life expectancy. The labor force in Europe will reach age levels never before registered in that older workers represent more than 30% of the active population. In this paper, based on the questionnaire results, brought out by "harnessing the potential senior", which was applied in enterprises in Portugal. It is intended to address some of the concerns related to the aging population and the use of senior potential, facing this problem as a challenge that contributes to social sustainability. Thus, the senior potential should be seen as a very important contribution. In this paper, we intend extract the survey data from data bases, for knowledge discovery and analysis using the data mining tool Weka.
Description
Keywords
Active aging Senior potential Data mining Weka
Pedagogical Context
Citation
Guarda, T., Pinto, F.M., Cordova, J.P., Augusto, M.F., Mato, F., Quiña, G.N. (2016). Senior Potential Analysis: A Challenge that Contributes to Social Sustainability. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9786. Springer, Cham. https://doi.org/10.1007/978-3-319-42085-1_52
Publisher
Springer International Publishing
Collections
CC License
Without CC licence