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Decision Support Based on Process Mining

In: Handbook on Decision Support Systems 1

Author

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  • Wil M.P. Aalst

    (Eindhoven University of Technology)

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.

Suggested Citation

  • Wil M.P. Aalst, 2008. "Decision Support Based on Process Mining," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 1, chapter 29, pages 637-657, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-48713-5_29
    DOI: 10.1007/978-3-540-48713-5_29
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    Cited by:

    1. Amit V. Deokar & Jie Tao, 2015. "Semantics-based event log aggregation for process mining and analytics," Information Systems Frontiers, Springer, vol. 17(6), pages 1209-1226, December.

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