Lupin: A llm approach for activity suffix prediction in business process event logs
Forecasting future states of running process instances is one of the main challenges of
Predictive Process Monitoring (PPM). Several deep learning approaches have recently …
Predictive Process Monitoring (PPM). Several deep learning approaches have recently …
[HTML][HTML] VERONA: A python library for benchmarking deep learning in business process monitoring
Predictive process monitoring is a subfield of process mining that focuses on predicting the
future behavior of real-world processes, anticipating constraint violations and bottlenecks …
future behavior of real-world processes, anticipating constraint violations and bottlenecks …
Towards Learning the Optimal Sampling Strategy for Suffix Prediction in Predictive Monitoring
Predictive monitoring is a subfield of process mining which focuses on forecasting the
evolution of an ongoing process case. A related main challenge is activity suffix prediction …
evolution of an ongoing process case. A related main challenge is activity suffix prediction …