85 citations · 162 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa +3
Increasing the success rate of a process, i.e. the percentage of cases that end in a positive outcome, is a recurrent process improvement goal. At runtime, there are often certain…
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Prediction of Business Process Models
Farbod Taymouri, Marcello La Rosa
This paper proposes an encoder-decoder architecture grounded on Generative Adversarial Networks (GANs), that generates a sequence of activities and their timestamps in an end-to-en…
Business Process Variant Analysis based on Mutual Fingerprints of Event Logs
Farbod Taymouri, Marcello La Rosa, Josep Carmona
Comparing business process variants using event logs is a common use case in process mining. Existing techniques for process variant analysis detect statistically-significant diffe…
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…