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• 영문명: Real-time Risk Measurement of Business Process Using Decision Tree
• 발행기관: 한국산업경영시스템학회
• 저자명: 강복영(Bokyoung Kang)․ 조남욱(Nam Wook Cho)․ 김훈태(Hoontae Kim)․ 강석호(Suk-Ho Kang)
• 간행물 정보: 『산업경영시스템학회지』제31권 제4호, 49~58쪽, 전체 10쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2008.12.31

영문 초록

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.

키워드

Business Activity Monitoring Risk Measurement Decision Tree Complex Event Processing