1. van der Aalst, W.M.P.: Process Mining - Data Science in Action, 2nd edn. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4
2. Lecture Notes in Business Information Processing;MC Becker,2022
3. vom Brocke, J., et al.: Process Science: The Interdisciplinary Study of Continuous Change, September 2021. https://doi.org/10.2139/ssrn.3916817
4. Cohn, D., Hull, R.: Business artifacts: a data-centric approach to modeling business operations and processes. IEEE Data Eng. Bull. 32(3), 3–9 (2009)
5. Denisov, V., Belkina, E., Fahland, D., van der Aalst, W.M.P.: The performance spectrum miner: visual analytics for fine-grained performance analysis of processes. In: BPM 2018 Demos. CEUR Workshop Proceedings, vol. 2196, pp. 96–100. CEUR-WS.org (2018)