Domain Knowledge-Enhanced Process Mining for Anomaly Detection in Commercial Bank Business Processes
Process anomaly detection in financial services systems is crucial for operational compliance and risk management. However, traditional process mining techniques frequently neglect the detection of significant low-frequency abnormalities due to their dependence on frequency and the inadequate incorp...
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| Main Authors: | Yanying Li, Zaiwen Ni, Binqing Xiao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Systems |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-8954/13/7/545 |
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