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Informative Article | Business Administration | Volume 9 Issue 11, November 2020 | Pages: 1207 - 1209 | India
A VBC Approach for Remaining Time Prediction in Business
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.
Keywords: Business processes enhancement, predictive business process monitoring, business processes management, business intelligence
How to Cite?: Vishnu P, Ajeesh S, "A VBC Approach for Remaining Time Prediction in Business", Volume 9 Issue 11, November 2020, International Journal of Science and Research (IJSR), Pages: 1207-1209, https://www.ijsr.net/getabstract.php?paperid=SR201119230413, DOI: https://dx.doi.org/10.21275/SR201119230413