Titlebook: Business Process Management; 21st International C Chiara Di Francescomarino,Andrea Burattin,Shazia S Conference proceedings 2023 The Editor

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https://doi.org/10.1007/978-1-59259-887-8n framework based on partial order patterns. We extract the candidate pattern instances and abstract event data based on the pattern instances identified. Moreover, we instantiate the framework and optimize the implementation. The framework is evaluated with synthetic event data, and a case study ba

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https://doi.org/10.1007/978-1-59259-887-8rocess behavior recorded in trace fragments, thus supporting incomplete data. Our experiments show promising results indicating that using trace fragments within IPD leads to high-quality process models.

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Medicinal Plants of the World, Volume 3ure; i.e., POWL models can be combined into a new model either using a control-flow operator or as a partial order. We propose an initial approach to demonstrate the feasibility of using POWL models for process discovery, and we evaluate our approach based on real-life data.

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Medicinal Plants of the World, Volume 3e process instance execution so far, including the process-variable values, the activity firing history, etc. This paper aims to investigate how process states can be leveraged to improve activity firing probabilities. A technique has been put forward and compared with the baseline where basic branc

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