Abstract
Process mining allows to visualize and understand any business process in any organization from every single process task to a global view based on actual event logs of executed tasks stored in today’s information systems. Process mining can be considered one of the most innovative and exciting digital tools that supports organizations on their initiative towards digital transformation as it allows to have a full understanding of the real behavior of processes, identify bottlenecks, and improve them. Many process discovery algorithms of process mining have been proposed today. However, users and businesses still cannot choose or decide the appropriate mining algorithm for their business processes. Nevertheless, existing evaluation and recommendation frameworks have several important drawbacks. Therefore, this paper proposes an approach for recommending the most suitable process discovery technique to a given process.
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R’bigui, H., Al-Absi, M.A., Cho, C. (2022). Process Discovery Algorithms Recommendation Approach. In: Pattnaik, P.K., Sain, M., Al-Absi, A.A. (eds) Proceedings of 2nd International Conference on Smart Computing and Cyber Security. SMARTCYBER 2021. Lecture Notes in Networks and Systems, vol 395. Springer, Singapore. https://doi.org/10.1007/978-981-16-9480-6_6
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