데이터마이닝 기법을 이용한 제조업에서의 산업재해 특성 분석

• 영문명: Feature Analysis of Industrial Accidentsin Manufacturing Using a Data Mining Technique
• 발행기관: 한국산업경영시스템학회
• 저자명: 임영문(Leem Young Moon) 황영섭(Hwang Young Seob)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2006년 춘계학술대회 논문집, 114~118쪽, 전체 5쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2006.05.01

영문 초록

  The main objective of this study is to provide feature analysis of industrial accidents in manufacturing industries using CART algorithm, a data mining technique. In this study, data on 10,536 accidents were analyzed to create risk groups, including the risk of disease and accident. Also, this paper used the gains chart produced by the decision tree. According to the result, gains chart can be used for a risk analysis for industrial accidents management. The sample for this work chosen from data related to manufacturing industries during three years (2002～2004) in Korea. The resulting classification rules have been incorporated into development of a developed database tool to help quantify associated risks and act as an early warning system to individual industrial accident in manufacturing industries.

목차

Abstract
1. 서론
2. 연구내용 및 방법
3. 분석결과
4. 특성분석 고찰
5. 결론 및 추후연구
6. 참고문헌

키워드

Gains Chart CART Data Mining Decision Tree