"A Process Mining-based unsupervised Anomaly Detection technique for the ..."

Francesco Vitale et al. (2023)

Details and statistics

DOI: 10.1016/J.IOT.2023.100993

access: open

type: Journal Article

metadata version: 2024-03-08

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