A study on the application of data mining to disadvantaged social classes in Taiwan’s population census

Abstract

Data mining has been widely applied to different areas. For a country with a huge population and household census data, data mining is an ideal approach for analyzing this information. In Taiwan single-parent families, aborigines and the elderly have long 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 Taiwan by using population and household 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 heads of household in single-parent families were investigated. The demographic features, educational attainment and marital status of aborigines were analyzed. The marital features, educational attainment, care and life patterns of the elderly were studied.