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Found 2 papers, 1 papers with code
What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning
Looking at suffix prediction as the most challenging of these tasks, the performance of Deep Learning models was evaluated only on average measures and for a small number of real-life event logs.
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models
In this paper, we propose to first discover local process models and then use those models to lift the event log to a higher level of abstraction.
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