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Process mining techniques allow for the analysis of business processes based on event logs. For example, the audit trails of a workflow management system, the transaction logs of an enterprise resource planning system, and the electronic patient records in a hospital can be used to discover models describing processes, organizations, and products. Moreover, such event logs can also be used to compare event logs with some a priori model to see whether the observed reality conforms to some prescriptive or descriptive model.
The basic idea of process mining is to discover, monitor, and improve realprocesses (i.e., not assumed processes) by extracting knowledge from event logs. Today many of the activities occurring in processes are either supported or monitored by information systems. Consider for example ERP, WFM, CRM, SCM, and PDM systems to support a wide variety of business processes while recording well-structured and detailed event logs....
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van der Aalst W.M.P. Reijers H.A., and Song M. Discovering social networks from event logs. Comput. Support. Coop. Work, 14(6):549–593, 2005.
van der Aalst W.M.P. Weijters A.J.M.M., and Maruster L. Workflow mining: discovering process models from event logs. IEEE Trans. Knowl. Data Eng., 16(9):1128–1142, 2004.
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van der Aalst, W.M.P. (2009). Process Mining. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1477
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DOI: https://doi.org/10.1007/978-0-387-39940-9_1477
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