Decision support based on process mining

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic


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.
Original languageEnglish
Title of host publicationHandbook on decision support systems 1: basic themes
EditorsF. Burstein, C.W. Holsapple
Place of PublicationBerlin
Number of pages854
ISBN (Print)978-3-540-48712-8
Publication statusPublished - 2008

Publication series

NameInternational Handbooks on Information Systems


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