Method of Decision-Making Logic Discovery in the Business Process Textual Data

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Abstract

Growing amount of complexity and enterprise data creates a need for novel business process (BP) analysis methods to assess the process optimization opportunities. This paper proposes a method of BP analysis while extracting the knowledge about Decision-Making Logic (DML) in a form of taxonomy. In this taxonomy, researchers consider the routine, semi-cognitive and cognitive DML levels as functions of BP conceptual aspects of Resources, Techniques, Capacities, and Choices. Preliminary testing and evaluation of developed method using data set of entry ticket texts from the IT Helpdesk domain showed promising results in the identification and classification of the BP Decision-Making Logic.

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Rizun, N., Revina, A., & Meister, V. (2019). Method of Decision-Making Logic Discovery in the Business Process Textual Data. In Lecture Notes in Business Information Processing (Vol. 353, pp. 70–84). Springer Verlag. https://doi.org/10.1007/978-3-030-20485-3_6

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