CART 알고리즘을 이용한 전공이탈자 예측 모형에 관한 연구

• 영문명: A Study on Predicting Model of Students Leaving Their Majors Using CART Algorithm
• 발행기관: 한국산업경영시스템학회
• 저자명: 임영문 유창현
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2006년 추계학술대회 논문집, 259~262쪽, 전체 4쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2006.10.01

영문 초록

  Nowadays most colleges are confronting with a serious problem because many students have left their majors at the colleges. In order to make a countermeasure for reducing major separation rate, many universities are trying to find a proper solution. As a similar endeavor, this paper uses CART (Classification and regression tree) algorithm for the feature analysis and provides predicting model of students leaving their majors. The sample for this study was chosen from a university in Kangwon-Do during seven years (2000.3.1 ~ 2006. 6.30). This study provides values about accuracy, sensitivity, specificity using classification table. The analysis results were very informative since those enable us to know the most important factors such as semester taking a course, grade on cultural subjects, scholarship, grade on majors, and total completion of courses which can affect students leaving their majors.

목차

1. 서론
2. 연구내용 및 방법
3. 의사결정나무
4. CART 알고리즘
5. 분석결과
6. 최종예측모형
7. 결론 및 추후연구사항
참고문헌

키워드

Feature Analysis Predicting Model Major Separation Rate CART