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REAL-TIME RISK MEASUREMENT FOR BUSINESS ACTIVITY MONITORING (BAM)

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Authors
Kang, Bokyoung; Cho, Nam Wook; Kang, Suk-Ho
Issue Date
2009-11-01
Publisher
ICIC INT
Citation
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL; Vol.5 11A; 3647-3657
Keywords
Event processingDecision treeRisk measurementBusiness activity monitoring
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
1349-4198
Language
English
URI
https://hdl.handle.net/10371/75356
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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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