Correcting forecasts with multifactor neural attention
Matthew Riemer, Aditya Vempaty, et al.
ICML 2016
Adaptive Case Management (ACM) has emerged as a key BPM technology for supporting the unstructured business process. A key problem in ACM is that case schemas need to be changed to best fit the case at hand. Such changes are ad hoc, and may result in schemas that do not reflect the intended logic or properties. This article presents a formal approach for reasoning about which properties of a case schema are preserved after a modification, and describes change operations that are guaranteed to preserve certain properties. The approach supports reasoning about rollbacks. The Case Management model used here is a variant of the Guard-Stage-Milestone model for declarative business artifacts. A real-life example illustrates applicability.
Matthew Riemer, Aditya Vempaty, et al.
ICML 2016
Jan Mendling, Ingo Weber, et al.
ACM TMIS
Saurabh Sinha, Tara Astigarraga, et al.
CLOUD 2020
Richard B. Hull
DEBS 2017