Connecting databases with process mining: a meta model and toolset

E. González López de Murillas (Corresponding author), H.A. Reijers, W.M.P. van der Aalst

    Research output: Contribution to journalArticleAcademicpeer-review

    18 Citations (Scopus)
    276 Downloads (Pure)

    Abstract

    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)1209-1247
    Number of pages39
    JournalSoftware and Systems Modeling
    Volume18
    Issue number2
    DOIs
    Publication statusPublished - 4 Apr 2019

    Keywords

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

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