Connecting databases with process mining: a meta model and toolset

Eduardo González López de Murillas*, Hajo A. Reijers, Wil M.P. van der Aalst

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


Process mining techniques require event logs which, in many cases, are obtained from databases. Obtaining these event logs is not a trivial task and requires substantial domain knowledge. In addition, an extracted event log provides only a single view on the database. To change our view, e.g., to focus on another business process and generate another event log, it is necessary to go back to the source of data. This paper proposes a meta model to integrate both process and data perspectives, relating one to the other. It can be used to generate different views from the database at any moment in a highly flexible way. This approach decouples the data extraction from the application of analysis techniques, enabling the application of process mining in different contexts.

Original languageEnglish
Pages (from-to)1-39
Number of pages39
JournalSoftware and Systems Modeling
Issue number2
Publication statusPublished - 19 Feb 2018


FundersFunder number
Technische Universiteit Eindhoven


    • Data schema
    • Database
    • Event extraction
    • Meta model
    • Process mining


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