An-Alignment-Cost-Based-Classification-of-Log-Traces-Using-ML
Application of a Reccurent Neural Network and a Random Forest classifier to the problem of evaluating whether the alignment cost of a log trace to a process model is below an arbitrary threshold. The work also gives a lower bound for process model fitness.
