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Exploring Interpretability for Predictive Process Analytics
[article]
2020
arXiv
pre-print
Modern predictive analytics underpinned by machine learning techniques has become a key enabler to the automation of data-driven decision making. In the context of business process management, predictive analytics has been applied to making predictions about the future state of an ongoing business process instance, for example, when will the process instance complete and what will be the outcome upon completion. Machine learning models can be trained on event log data recording historical
arXiv:1912.10558v3
fatcat:62asvk7hpnfyvikbdzpbzqcgoe