Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Artifact-Centric Process Mining

  • Dirk Fahland
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_93-1

Synonyms

Definition

Artifact-centric process mining is an extension of classical process mining (van der Aalst 2016) that allows to analyze event data with more than one case identifier in its entirety. It allows to analyze the dynamic behavior of (business) processes that create, read, update, and delete multiple data objects that are related to each other in relationships with one-to-one, one-to-many, and many-to-many cardinalities. Such event data is typically stored in relational databases of, for example, Enterprise Resource Planning (ERP) systems (Lu et al. 2015). Artifact-centric process mining comprises artifact-centric process discovery, conformance checking, and enhancement. The outcomes of artifact-centric process mining can be used for documenting the actual data flow in an organization and for analyzing deviations in the data flow for performance and conformance analysis.

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References

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands

Section editors and affiliations

  • Marlon Dumas
    • 1
  • Matthias Weidlich
    • 2
  1. 1.Institute of Computer ScienceUniversity of TartuTartuEstonia
  2. 2.Department of Computer ScienceHumboldt-Universität zu BerlinBerlinGermany