A VBC Approach for Remaining Time Prediction in Business
Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 11)Publication Date: 2020-11-05
Authors : Vishnu P; Ajeesh S;
Page : 1207-1209
Keywords : Business processes enhancement; predictive business process monitoring; business processes management; business intelligence;
Abstract
Accurate predictions of the remaining time, defined as the required time for an instance process to finish, are critical in many systems for organizations being able to establish a priori requirements, for optimal management of resources or for improving the quality of the services organizations provide. Our approach consists of i) extracting and assessing a number of features on the business logs, that provide a structural characterization of the traces; ii) extending the well-known annotated transition system (ATS) model to include these features; iii) proposing a partitioning strategy for the lists of features associated to each state in the extended ATS; and iv) applying a linear regression technique to each partition for predicting the remaining time of new traces.
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