Abstract
Alignments are a central notion in conformance checking. They establish the best possible connection between an observed trace and a process model, exhibiting the closest model run to the trace. Computing these alignments for huge amounts of traces, coming from big logs, is a computational bottleneck. We show that, for a slightly modified version of the distance function between traces and model runs, we significantly improve the execution time of an A*-based search algorithm. We show experimentally that the alignments found with our modified distance approximate very nicely the optimal alignments for the classical distance.
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Notes
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Currently available at https://github.com/BoltMaud/pm4py-core.
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Prototype Selection plugin of ProM software with default settings.
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Boltenhagen, M., Chatain, T., Carmona, J. (2021). A Discounted Cost Function for Fast Alignments of Business Processes. In: Polyvyanyy, A., Wynn, M.T., Van Looy, A., Reichert, M. (eds) Business Process Management. BPM 2021. Lecture Notes in Computer Science(), vol 12875. Springer, Cham. https://doi.org/10.1007/978-3-030-85469-0_17
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