- 데이터 마이닝을 적용한 실업계 고등학생의 가출 예측모형
- ㆍ 저자명
- 이주리,Lee. Ju-Rhee
- ㆍ 간행물명
- 한국가정관리학회지
- ㆍ 권/호정보
- 2009년|27권 2호|pp.203-211 (9 pages)
- ㆍ 발행정보
- 한국가정관리학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
This study was conducted to evaluate a forecast model designed to describe a vocational high school for runaway students. The study included 2000 adolescents from the KEEP(Korean Education and Employment Panel). A Data mining decision tree model revealed that: (1) Suicide ideation was a risk factor for running away among smokers. (2) High self-evaluation was a risk factor for running away among individuals that smoked and had no suicide ideation. (3) Drinking was predicted as a risk factor for no smokers, while family life dissatisfaction was predicted as a risk factor among non-smokers that drank. (4) Negative relationship with mother was predicted as a risk factor among non-drinking non-smoking.