Extending Process Logs with Events from Supplementary Sources

  • Felix MannhardtEmail author
  • Massimiliano de Leoni
  • Hajo A. Reijers
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 202)


Since organizations typically use more than a single IT system, information about the execution of a process is rarely available in a single event log. More commonly, data is scattered across different locations and unlinked by common case identifiers. We present a method to extend an incomplete main event log with events from supplementary data sources, even though the latter lack references to the cases recorded in the main event log. We establish this correlation by using the control-flow, time, resource, and data perspectives of a process model, as well as alignment diagnostics. We evaluate our approach on a real-life event log and discuss the reliability of the correlation under different circumstances. Our evaluation shows that it is possible to correlate a large portion of the events by using our method.


Process mining Event correlation Data Petri nets Process logs 


  1. 1.
    van der Aalst, W.M.P.: Process Mining - Discovery, Conformance and Enhancement of Business Processes. Springer, Heidelberg (2011)zbMATHGoogle Scholar
  2. 2.
    Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P.: Balanced multi-perspective checking of process conformance. Technical report, BPM Center Report BPM-14-07 (2014).
  3. 3.
    Claes, J., Poels, G.: Merging computer log files for process mining: an artificial immune system technique. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM Workshops 2011, Part I. LNBIP, vol. 99, pp. 99–110. Springer, Heidelberg (2012) CrossRefGoogle Scholar
  4. 4.
    Nooijen, E.H.J., van Dongen, B.F., Fahland, D.: Automatic discovery of data-centric and artifact-centric processes. In: La Rosa, M., Soffer, P. (eds.) BPM Workshops 2012. LNBIP, vol. 132, pp. 316–327. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  5. 5.
    Motahari-Nezhad, H., Saint-Paul, R., Casati, F., Benatallah, B.: Event correlation for process discovery from web service interaction logs. VLDB J. 20(3), 417–444 (2011)CrossRefGoogle Scholar
  6. 6.
    Walicki, M., Ferreira, D.R.: Sequence partitioning for process mining with unlabeled event logs. Data Knowl. Eng. 70(10), 821–841 (2011)CrossRefGoogle Scholar
  7. 7.
    Zhu, X., Song, S., Wang, J., Yu, P.S., Sun, J.: Matching heterogeneous events with patterns. In: Proceedings of the 2014 30th IEEE International Conference on Data Engineering, ICDE 2014, IEEE, pp. 376–387 (2014)Google Scholar
  8. 8.
    Desel, J., Esparza, J.: Free Choice Petri Nets. Cambridge University Press, Cambridge (1995)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Felix Mannhardt
    • 1
    • 2
    Email author
  • Massimiliano de Leoni
    • 1
    • 3
  • Hajo A. Reijers
    • 1
    • 2
  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Perceptive SoftwareApeldoornThe Netherlands
  3. 3.University of PaduaPaduaItaly

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