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데이터 마이닝을 활용한 사립대학 교육비 환원요인 분석 : 패널 고정효과모형과 비모수회귀추정을 중심으로
Analysis of Factors for Private Universities Educational Restitution Rate using Data Mining : Focusing on the Panel Fixed Effect Model and Non-parametric Regression Estimation 원문보기

Journal of information technology applications & management = 한국데이타베이스학회지, v.27 no.6, 2020년, pp.153 - 170  

채동우 (Department of Finance, Graduate School of Hoseo University) ,  이문범 (Graduate School of Management Of Technology(MOT) of Hoseo University) ,  정군오 (Department of Global Commerce, Hoseo University)

Abstract ▼ AI-Helper 아이콘AI-Helper

The Educational Restitution Rate is an important parameter that determines the quality of university education. This paper analyzed data from 148 private universities over the 10 years from 2009 to 2018 using data mining techniques in Korea. A significant causal relationship is detected in the fixed...

주제어

#University Competency Diagnosis   #Panel Fixed Effect   #Non-Parametric Research   #Educational Restitution Rate(ERR)   #University Information  

표/그림 (8)

참고문헌 (33)

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    원문보기 상세보기

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