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.

Abstract
 1. 서론
 2. 연구 방법
 3. 데이터 분석 결과
 4. CHAID 알고리즘 분석 결과
 5. 예측 시스템
 6. 결론 및 추후연구
 7. 참고문헌

• 임영문 | Leem Young Moon
• 황영섭 | Hwang Young Seob
• 최요한 | Choi Yo Han