85 citations · 117 across the 13 of their papers we have counts for
7 papers · 1 filter
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes
Mahmoud Shoush, Marlon Dumas
Prescriptive process monitoring methods seek to improve the performance of a process by selectively triggering interventions at runtime (e.g., offering a discount to a customer) to…
Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach
Mahmoud Shoush, Marlon Dumas
Prescriptive process monitoring is a family of techniques to optimize the performance of a business process by triggering interventions at runtime. Existing prescriptive process mo…
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas +2
Reducing cycle time is a recurrent concern in the field of business process management. Depending on the process, various interventions may be triggered to reduce the cycle time of…
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas +2
This paper proposes an approach to analyze an event log of a business process in order to generate case-level recommendations of treatments that maximize the probability of a given…
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa +4
Predictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outc…
Discovering Process Maps from Event Streams
Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas +2
Automated process discovery is a class of process mining methods that allow analysts to extract business process models from event logs. Traditional process discovery methods extra…