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Found 2 papers, 2 papers with code
Process Model Forecasting Using Time Series Analysis of Event Sequence Data
To this end, we develop a technique to forecast the entire process model from historical event data.
Comprehensive Process Drift Detection with Visual Analytics
The technique starts by clustering declarative process constraints discovered from recorded logs of executed business processes based on their similarity and then applies change point detection on the identified clusters to detect drifts.
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