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ISSN : 2005-0461(Print)
ISSN : 2287-7975(Online)
Journal of Society of Korea Industrial and Systems Engineering Vol.31 No.4 pp.49-58
DOI :

의사결정나무를 이용한 비즈니스 프로세스의 실시간 위험 수준 측정

강복영*, 조남욱**, 김훈태***, 강석호*
서울대학교 산업공학과*, 서울산업대학교 산업정보시스템공학과**, 대진대학교 산업시스템공학과***,

Real-time Risk Measurement of Business Process Using Decision Tree

Nam-Wook Cho**, Kang Bok-Young*, Kim Hoon-Tae***, Kang Suk-Ho*
Department of Industrial and Information System Engineering, Seoul National University of Technology**
Department of Industrial Engineering, Seoul National University*
Department of Industrial and Systems Engineering, Daejin University***
[$AuthorMark7$]

Abstract

This paper proposes a methodology to measure the risk level in real-time for Business Activity Monitoring (BAM). A decision-tree methodology was employed to analyze the effect of process attributes on the result of the process execution. In the course of process execution, the level of risk is monitored in real-time, and an early warning can be issued depending on the change of the risk level. An algorithm for estimating the risk of ongoing processes in real-time was formulated. Comparison experiments were conducted to demonstrate the effectiveness of our method. The proposed method detects the risks of business processes more precisely and even earlier than existing approaches.

Reference