A Systematic Review of Anomaly Detection for Business Process Event Logs
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DOI: 10.1007/s12599-023-00794-y
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- Tomás Sureda Riera & Juan-Ramón Bermejo Higuera & Javier Bermejo Higuera & José-Javier Martínez Herraiz & Juan-Antonio Sicilia Montalvo, 2020. "Prevention and Fighting against Web Attacks through Anomaly Detection Technology. A Systematic Review," Sustainability, MDPI, vol. 12(12), pages 1-45, June.
- Jan Brocke & Mieke Jans & Jan Mendling & Hajo A. Reijers, 2021. "A Five-Level Framework for Research on Process Mining," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 483-490, October.
- Robert Andrews & Moe T. Wynn & Kirsten Vallmuur & Arthur H. M. ter Hofstede & Emma Bosley & Mark Elcock & Stephen Rashford, 2019. "Leveraging Data Quality to Better Prepare for Process Mining: An Approach Illustrated Through Analysing Road Trauma Pre-Hospital Retrieval and Transport Processes in Queensland," IJERPH, MDPI, vol. 16(7), pages 1-25, March.
- Zerbino, Pierluigi & Stefanini, Alessandro & Aloini, Davide, 2021. "Process Science in Action: A Literature Review on Process Mining in Business Management," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
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Keywords
Anomaly detection; Event log quality; Business process; Process data;All these keywords.
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