Abstract
With increasing automation of business processes, the possibilities for the automation of routine business decisions grow: granting a loan, insurance or energy premium; simple diagnosis; sensor control systems in manufacturing; etc. are not uncommon automated decisions anymore, deployed and supported by systems and processes. Although each decision is relatively small and operational, they come in large numbers so that they eventually represent a large value for organizations. Reconciling and integrating processes and decisions is therefore of paramount importance, both when it comes to modelling the two concerns consistently, as well as in terms of automated discovery of process-decision models. This paper outlines a research proposal for the development of a framework allowing a sound integration of processes and decisions both for modelling and mining, relying on the newly developed Decision Model and Notation (DMN) standard.
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Hasić, F., De Smedt, J., Vanthienen, J. (2018). Developing a Modelling and Mining Framework for Integrated Processes and Decisions. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems. OTM 2017 Workshops. OTM 2017. Lecture Notes in Computer Science, vol 10697. Springer, Cham. https://doi.org/10.1007/978-3-319-73805-5_28
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DOI: https://doi.org/10.1007/978-3-319-73805-5_28
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