Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/38937| Title: | Data-Driven Process Simulation | Authors: | DEPAIRE, Benoit MARTIN, Niels |
Issue Date: | 2022 | Publisher: | Springer | Source: | Zomaya, Albert; Taheri, Javid; Sakr, Sherif (Ed.). Encyclopedia of Big Data Technologies, Springer, p. 1 -9 | Abstract: | Synonyms-Definition Data-driven process simulation is a technique which constructs a computer model that imitates the internal details of a business process and extensively uses real-life data-recorded by information systems supporting the actual process-to do so. The model is used to evaluate what-if scenarios in order to better understand the actual process behaviour and to predict the impact of potential changes to the process. This is a preprint version of an article published in the Encyclopedia of Big Data Technologies. The final authenticated version is available online at: https://doi.org/10. | Document URI: | http://hdl.handle.net/1942/38937 | ISBN: | 9783319639628 | DOI: | 10.1007/978-3-319-63962-8_102-2 | Category: | B2 | Type: | Book Section |
| Appears in Collections: | Research publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Depaire and Martin - Data-driven process simulation.pdf | Peer-reviewed author version | 151.73 kB | Adobe PDF | View/Open |
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