A Study on the Association Rule Mining and GIS to Seniors Living Alone in Taiwan Population Census
Chin-Jui Chang, Chi-Hsin Chin, Chien-Hui Liu
Current Journal of Applied Science and Technology · pp. 1–9 · Published 19 Nov 2016
10.9734/BJAST/2016/26707Abstract
The elderly have been considered disadvantaged social classes, and their widening problems will have a tremendous impact and influence on society. This study aims to apply data mining techniques to investigate the demographic features of socially disadvantaged groups in Taipei and Kaohsiung by using population data collected in the 2000 census to provide reference for social welfare decision makers in understanding these groups and forming policy. The demographic features, marital features and educational attainment of the elderly lives were investigated. The marital features, educational attainment, care and life patterns of the elderly were studied. This article offers two results of creative research about seniors living alone in Taiwan. (1) Suggestions on a research structure for data mining visualization with GIS. (2) A search for the distribution of the elderly population groups in society using the census 2000 as research background.
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