Abstract
Process Conformance is a crucial step in the area of Process Mining: the adequacy of a model derived from applying a discovery algorithm to a log must be certified before making further decisions that affect the system under consideration. Among the different conformance dimensions, in this paper we propose a novel measure for precision, based on the simple idea of counting these situations were the model deviates from the log. Moreover, a log-based traversal of the model that avoids inspecting its whole behavior is presented. Experimental results show a significant improvement when compared to current approaches for the same task. Finally, the detection of the shortest traces in the model that lead to discrepancies is presented.
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Muñoz-Gama, J., Carmona, J. (2010). A Fresh Look at Precision in Process Conformance. In: Hull, R., Mendling, J., Tai, S. (eds) Business Process Management. BPM 2010. Lecture Notes in Computer Science, vol 6336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15618-2_16
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DOI: https://doi.org/10.1007/978-3-642-15618-2_16
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