Application of a Multi-factor Approach in Machine Learning Algorithms for Post Process Mining Analysis and Problem Detection in Bank
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35311-6_32
Reference18 articles.
1. Process Mining: Discovery, Conformance and Enhancement of Business Processes by W.M.P. van der Aalst, Springer Verlag (2011) (ISBN 978–3–642–19344–6). https://doi.org/10.1007/978-3-642-19345-3
2. Wil van der Aalst: Using process mining to deal with “events” rather than “numbers”? Spreadsheets for business process management (2017)
3. van der Aalst, W.: Process Mining, Data Science in Action. Second Edn, Springer (2016). https://doi.org/10.1007/978-3-662-49851-4
4. Lecture Notes in Networks and Systems;AA Bugaenko,2021
5. Bugaenko, A.A.: Analysis of Artificial Neural Network Settings in Determining «Significance» Stage-to-Stage Transitions on the Grid Graphs of Business Processes in Banks. In: Silhavy, R. (ed.) Artificial Intelligence Trends in Systems: Proceedings of 11th Computer Science On-line Conference 2022, Vol. 2, pp. 59–69. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-09076-9_6
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