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Data- and Resource-Aware Conformance Checking of Business Processes

  • Massimiliano de Leoni
  • Wil M. P. van der Aalst
  • Boudewijn F. van Dongen
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 117)

Abstract

Process mining is not restricted to process discovery and also includes conformance checking, i.e., checking whether observed behavior recorded in the event log matches modeled behavior. Many organizations have descriptive or normative models that do not adequately describe the actual processes. Therefore, a variety of techniques for conformance checking have been proposed. However, all of these techniques focus on the control-flow and abstract from data and resources. This paper describes an approach that aligns event log and model while taking all perspectives into account (i.e., also data and resources). This way it is possible to quantify conformance and analyze differences between model and reality. The approach has been implemented in ProM and evaluated using a variety of model-log combinations.

Keywords

Business Process Priority Queue Optimal Alignment Process Instance Execution Step 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Massimiliano de Leoni
    • 1
  • Wil M. P. van der Aalst
    • 1
  • Boudewijn F. van Dongen
    • 1
  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands

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