SHERP

의사결정나무를 이용한 비즈니스 프로세스의 실시간 위험 수준 측정
Real-time Risk Measurement of Business Process Using Decision Tree

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Authors
강복영; 조남욱; 김훈태; 강석호
Issue Date
2008-12
Publisher
한국산업경영시스템학회 = Korea Industrial and Systems Engineering
Citation
산업경영시스템학회지, 31 : 49-58, 2008
Keywords
Business Activity MonitoringRisk MeasurementDecision TreeComplex Event Processing
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.
ISSN
1225-0503
Language
Korean
URI
http://hdl.handle.net/10371/7697
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Industrial Engineering (산업공학과)Journal Papers (저널논문_산업공학과)
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