A recommendation system for predicting risks across multiple business process instances
We propose a recommendation system to support risk-informed decisions. The system provides suggestions which minimize the predicted process risk. Risks are predicted traversing decision trees generated from process logs. In case of concurrent process instances, optimal suggestions are computed using ILP. Process-related faults and their severities are significantly reduced by our system.
business process management risk management risk prediction job scheduling work distribution yawl