Abstract
In process discovery, the goal is to find, for a given event log, the model describing the underlying process. While process models can be represented in a variety of ways, in this paper we focus on a subclass of Petri nets. In particular, we describe a new class of Petri nets called Uniwired Petri Nets and first results on their expressiveness. They provide a balance between simple and readable process models on the one hand, and the ability to model complex dependencies on the other hand. We then present an adaptation of our eST-Miner aiming to find such Petri Nets efficiently. Constraining ourselves to uniwired Petri nets allows for a massive decrease in computation time compared to the original algorithm, while still discovering complex control-flow structures such as long-term-dependencies. Finally, we evaluate and illustrate the performance of our approach by various experiments.
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We thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.
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Mannel, L.L., van der Aalst, W.M.P. (2019). Finding Uniwired Petri Nets Using eST-Miner. In: Di Francescomarino, C., Dijkman, R., Zdun, U. (eds) Business Process Management Workshops. BPM 2019. Lecture Notes in Business Information Processing, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-37453-2_19
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DOI: https://doi.org/10.1007/978-3-030-37453-2_19
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