Abstract
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. This chapter takes the MXML format as a starting point, i. e., a format that stores event logs in a unified manner. Based on this format, we will show how process mining techniques can be used to support decision making in business processes.
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van der Aalst, W. (2008). Decision Support Based on Process Mining. In: Handbook on Decision Support Systems 1. International Handbooks Information System. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48713-5_29
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DOI: https://doi.org/10.1007/978-3-540-48713-5_29
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