원문정보
A Feature Analysis of Industrial Accidents Using CHAID Algorithm
초록
영어
The main objective of the statistical analysis about industrial accidents is to find out what is the dangerous factor in its own industrial field so that it is possible to prevent or decrease the number of the possible accidents by educating those who work in the fields for safety tools. However, so far, there is no technique of quantitative evaluation on danger. Almost all previous researches as to industrial accidents have only relied on the frequency analysis such as the analysis of the constituent ratio on accidents. As an application of data mining technique, this paper presents analysis on the efficiency of the CHAID algorithm to classify types of industrial accidents data and thereby identifies potential weak points in accident risk grouping.
목차
1. 서론
2. CHAID 알고리즘
2.1 이산형 목표변수에 대한 분리기준
2.2 연속형 목표변수에 대한 분리기준
3. 데이터 셋
4. 분석 결과
4.1 오분류 확률 분석
4.2 모형구축 자료(Training Data Set)와 모형검증 자료(Testing Data Set)비교 분석
4.3 트리 분석
5. 결론 및 추후 연구 사항
6. 참고문헌