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Found 6 papers, 1 papers with code
Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory
State-of-the-art process discovery methods construct free-choice process models from event logs.
A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection
Implementing systems based on Machine Learning to detect fraud and other Non-Technical Losses (NTL) is challenging: the data available is biased, and the algorithms currently used are black-boxes that cannot be either easily trusted or understood by stakeholders.
Explainable Predictive Process Monitoring
Predictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes.
Business Process Variant Analysis based on Mutual Fingerprints of Event Logs
The cornerstone of this approach is a technique to learn a directly follows graph called mutual fingerprint from the event logs of the two variants.
Anti-Alignments -- Measuring The Precision of Process Models and Event Logs
One important metric in conformance checking is to asses the precision of the model with respect to the observed executions, i. e., characterize the ability of the model to produce behavior unrelated to the one observed.
Challenges and Opportunities of Applying Natural Language Processing in Business Process Management
The Business Process Management (BPM) field focuses in the coordination of labor so that organizational processes are smoothly executed in a way that products and services are properly delivered.
