Using Process Mining to Learn from Process Changes in Evolutionary Systems

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Provided by: Inderscience Enterprises
Topic: Big Data
Format: PDF
Traditional information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Accordingly, adaptive Process Management Systems (PMSs) have emerged that provide some flexibility by enabling dynamic process changes during runtime. Based on the assumption that these process changes are recorded explicitly, the authors present two techniques for mining change logs in adaptive PMSs; that is, they do not only analyze the execution logs of the operational processes, but also consider the adaptations made at the process instance level. The change processes discovered through process mining provide an aggregated overview of all changes that happened so far.
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