Process Discovery Algorithms Recommendation Approach
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9480-6_6
Reference15 articles.
1. Reinkemeyer L (ed) (2020) Process mining in action: principles, use cases and outlook. Springer International Publishing, Cham (2020)
2. van der Aalst W (2016) Process mining: Data science in action. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49851-4_1
3. van der Aalst W (2011) Process mining: discovery, conformance, and enhancement of business processes, 1st edn. Springer, Berlin Heidelberg
4. R'bigui H, Cho C (2019) Complex control-flow constructs detection from process related data. In: International conference on advanced communication technology, ICACT, 2019-February, pp 579–582, 8701986
5. van der Aalst WMP, Weijters AJMM, Maruster L (2004) Workflow mining: discovering process models from event logs. IEEE Trans Knowl Data Eng 16(9):1128–1142
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