Process Science in Action: A Literature Review on Process Mining in Business Management
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DOI: 10.1016/j.techfore.2021.121021
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Cited by:
- Jonghyeon Ko & Marco Comuzzi, 2023. "A Systematic Review of Anomaly Detection for Business Process Event Logs," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 441-462, August.
- Potoniec, Jedrzej & Sroka, Daniel & Pawlak, Tomasz P., 2022. "Continuous discovery of Causal nets for non-stationary business processes using the Online Miner," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1304-1320.
- Maria-Isabel Sanchez-Segura & Roxana González-Cruz & Fuensanta Medina-Dominguez & German-Lenin Dugarte-Peña, 2022. "Valuable Business Knowledge Asset Discovery by Processing Unstructured Data," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
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Keywords
Process mining; Business intelligence and analytics; Business process management; Industry 4.0; Machine learning; Data science;All these keywords.
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