Abstract
Process mining techniques relate observed behavior to modeled behavior, e.g., the automatic discovery of a Petri net based on an event log. Process mining is not limited to process discovery and also includes conformance checking. Conformance checking techniques are used for evaluating the quality of discovered process models and to diagnose deviations from some normative model (e.g., to check compliance). Existing conformance checking approaches typically focus on the control-flow, thus being unable to diagnose deviations concerning data. This paper proposes a technique to check the conformance of data-aware process models. We use so-called Petri nets with Data to model data variables, guards, and read/write actions. Data-aware conformance checking problem may be very time consuming and sometimes even intractable when there are many transitions and data variables. Therefore, we propose a technique to decompose large data-aware conformance checking problems into smaller problems that can be solved more efficiently. We provide a general correctness result showing that decomposition does not influence the outcome of conformance checking. The approach is supported through ProM plug-ins and experimental results show significant performance improvements. Experiments have also been conducted with a real-life case study, thus showing that the approach is also relevant in real business settings.
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References
van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
Rozinat, A., van der Aalst, W.M.P.: Conformance checking of processes based on monitoring real behavior. Information System 33(1), 64–95 (2008)
Adriansyah, A., van Dongen, B.F., van der Aalst, W.M.P.: Conformance checking using cost-based fitness analysis. In: Proceedings of the 15th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2011), pp. 55–64. IEEE Computer Society (2011)
de Leoni, M., van der Aalst, W.M.P.: Aligning event logs and process models for multi-perspective conformance checking: An approach based on integer linear programming. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 113–129. Springer, Heidelberg (2013)
Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P.: Balanced Multi-Perspective Checking of Process Conformance. BPM Center Report BPM-14-07 (2014)
van der Aalst, W.M.P.: Decomposing Petri nets for process mining: A generic approach. Distributed and Parallel Databases 31(4), 471–507 (2013)
van der Aalst, W.M.P.: Decomposing process mining problems using passages. In: Haddad, S., Pomello, L. (eds.) PETRI NETS 2012. LNCS, vol. 7347, pp. 72–91. Springer, Heidelberg (2012)
Munoz-Gama, J., Carmona, J., van der Aalst, W.M.P.: Single-entry single-exit decomposed conformance checking. Information Systems 46, 102–122 (2014)
Montali, M., Chesani, F., Mello, P., Maggi, F.M.: Towards data-aware constraints in declare. In: Shin, S.Y., Maldonado, J.C. (eds.) SAC, pp. 1391–1396. ACM (2013)
Jensen, K., Kristensen, L.: Coloured Petri Nets. Springer (2009)
Polyvyanyy, A.: Structuring process models. PhD thesis, University of Potsdam (2012)
Dumas, M., García-Bañuelos, L., Polyvyanyy, A.: Unraveling unstructured process models. In: Mendling, J., Weidlich, M., Weske, M. (eds.) BPMN 2010. LNBIP, vol. 67, pp. 1–7. Springer, Heidelberg (2010)
Vanhatalo, J., Völzer, H., Koehler, J.: The refined process structure tree. Data Knowl. Eng. 68(9), 793–818 (2009)
Polyvyanyy, A., Vanhatalo, J., Völzer, H.: Simplified computation and generalization of the refined process structure tree. In: Bravetti, M. (ed.) WS-FM 2010. LNCS, vol. 6551, pp. 25–41. Springer, Heidelberg (2011)
de Leoni, M., Munoz-Gama, J., Carmona, J., van der Aalst, W.M.P.: Decomposing Conformance Checking on Petri Nets with Data. BPM Center Report BPM-14-06 (2014)
Munoz-Gama, J., Carmona, J.: A General Framework for Precision Checking. International Journal of Innovative Computing, Information and Control (IJICIC) 8(7B), 5317–5339 (2012)
De Weerdt, J., De Backer, M., Vanthienen, J., Baesens, B.: A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs. Information System 37(7), 654–676 (2012)
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de Leoni, M., Munoz-Gama, J., Carmona, J., van der Aalst, W.M.P. (2014). Decomposing Alignment-Based Conformance Checking of Data-Aware Process Models. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. OTM 2014. Lecture Notes in Computer Science, vol 8841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45563-0_1
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DOI: https://doi.org/10.1007/978-3-662-45563-0_1
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