文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 Mining Association Rules between Education, Family Background and Earning
卷期 31:2
作者 Chih Yen ChangMing Sang Chang
頁次 056-069
關鍵字 association rule miningdata mininginequalityrandom forest similaritysocioeconomic statusEIMEDLINEScopus
出刊日期 202004
DOI 10.3966/199115992020043102007

中文摘要

英文摘要

Education is widely regarding as the primary way to allocate the economic remuneration. Most people consider education as a mechanism that can sabotage the association of economic inequality. In this paper, we intend to propose a mechanism to investigate the determinants that take influence on one’s economic rewards by leveraging diverse data mining techniques, instead of using statistical methods solely. We found the determinants of one’s earning would vary depending on macro or micro perspectives which are rarely mentioned in other works. In macro view, it showed that the self-worth of a student played the most important role, followed by school practice and family background. In micro view, the sub-factors were investigated with six scenarios respectively. Our findings not only reflect the status-quo of society, but can be references in how background shapes one’s future.

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