원문정보
A Study on Development of A Web-Based Forecasting System of Industrial Accidents
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초록
영어
Ultimate goal of this research is to develop a web-based forecasting system of industrial accidents. As an initial step for the purpose of this study, this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. In addition, this paper presents the logical process for development of a forecasting system. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. The sample for this work was chosen from 10,536 data related to manufacturing industries during three years(2002~2004) in korea.
목차
Abstract
1. 서론
2. 연구 방법
3. 데이터 분석 결과
4. CHAID 알고리즘 분석 결과
5. 예측 시스템
6. 결론 및 추후연구
7. 참고문헌
1. 서론
2. 연구 방법
3. 데이터 분석 결과
4. CHAID 알고리즘 분석 결과
5. 예측 시스템
6. 결론 및 추후연구
7. 참고문헌
저자정보
참고문헌
자료제공 : 네이버학술정보