On the Origin of Questions in Process Mining Projects

  • Conference paper
  • First Online:
Enterprise Design, Operations, and Computing (EDOC 2022)

Abstract

In line with the growing popularity of process mining, several methodologies have been proposed to guide the conduct of process mining projects. Such methodologies reason that process mining projects start with a concrete question. However, in practice we observe projects with a different starting point, often aimed at exploring the data. Existing methodologies provide limited aid in such situations, and as a result, we wonder: how are questions developed within process mining projects? In this paper, we present the results of an interview study that sheds light on question development in process mining. We provide insights from expert interviewees, resulting in six recommendations that enhance existing methodologies. In doing so, we present concrete examples of how process mining analyses can support question formulation and refinement.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 42.79
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 53.49
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    In contrast to synthetic logs, real-life event logs are logs obtained from the execution of real-life processes, such as those provided by the IEEE Taskforce in Process Mining: https://www.tf-pm.org/resources/xes-standard/about-xes/event-logs.

References

  1. van der Aalst, W., et al.: Process mining manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011. LNBIP, vol. 99, pp. 169–194. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28108-2_19

    Chapter  Google Scholar 

  2. Van der Aalst, W.M.: Process mining: discovering and improving Spaghetti and Lasagna processes. In: IEEE Symposium Computational Intelligence Data Mining (CIDM), pp. 1–7. IEEE (2011)

    Google Scholar 

  3. Ailenei, I., Rozinat, A., Eckert, A., van der Aalst, W.M.P.: Definition and validation of process mining use cases. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011. LNBIP, vol. 99, pp. 75–86. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28108-2_7

    Chapter  Google Scholar 

  4. Behrens, J.T.: Principles and procedures of exploratory data analysis. Psychol. Methods 2(2), 131 (1997)

    Article  Google Scholar 

  5. Bozkaya, M., Gabriels, J., Van der Werf, J.M.: Process diagnostics: a method based on process mining. In: International Conference on Information, Process, and Knowledge Management, pp. 22–27. IEEE (2009)

    Google Scholar 

  6. van Eck, M.L., Lu, X., Leemans, S.J.J., van der Aalst, W.M.P.: PM\(^2\): a process mining project methodology. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds.) CAiSE 2015. LNCS, vol. 9097, pp. 297–313. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19069-3_19

    Chapter  Google Scholar 

  7. Eindhoven University of Technology: Road traffic fine management process (2015). Data retrieved from 4TU ResearchData

    Google Scholar 

  8. Emamjome, F., Andrews, R., ter Hofstede, A.H.M.: A case study lens on process mining in practice. In: Panetto, H., Debruyne, C., Hepp, M., Lewis, D., Ardagna, C.A., Meersman, R. (eds.) OTM 2019. LNCS, vol. 11877, pp. 127–145. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33246-4_8

    Chapter  Google Scholar 

  9. Ericsson, K.A., Simon, H.A.: Protocol Analysis: Verbal Reports as data. MIT Press, Cambridge (1984)

    Google Scholar 

  10. Gurgen Erdogan, T., Tarhan, A.: A goal-driven evaluation method based on process mining for healthcare processes. Appl. Sci. 8(6), 894 (2018)

    Article  Google Scholar 

  11. Munoz-Gama, J., Martin, N., Fernandez-Llatas, C., et al.: Process mining for healthcare: characteristics and challenges. J. Biomed. Inform. 127, 103994 (2022)

    Article  Google Scholar 

  12. Padgett, D.K.: Qualitative Methods in Social Work Research, vol. 36. Sage, Thousand Oaks (2016)

    Google Scholar 

  13. Rojas, E., Munoz-Gama, J., Sepúlveda, M., Capurro, D.: Process mining in healthcare: a literature review. J. Biomed. Inform. 61, 224–236 (2016)

    Article  Google Scholar 

  14. Rojas, E., Sepúlveda, M., Munoz-Gama, J., Capurro, D., Traver, V., Fernandez-Llatas, C.: Question-driven methodology for analyzing emergency room processes using process mining. Appl. Sci. 7(3), 302 (2017)

    Article  Google Scholar 

  15. Saldaña, J.: The Coding Manual for Qualitative Researchers. Sage, Thousand Oaks (2021)

    Google Scholar 

  16. Zerbato, F., Soffer, P., Weber, B.: Initial insights into exploratory process mining practices. In: Polyvyanyy, A., Wynn, M.T., Van Looy, A., Reichert, M. (eds.) BPM 2021. LNBIP, vol. 427, pp. 145–161. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-85440-9_9

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francesca Zerbato .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zerbato, F., Koorn, J.J., Beerepoot, I., Weber, B., Reijers, H.A. (2022). On the Origin of Questions in Process Mining Projects. In: Almeida, J.P.A., Karastoyanova, D., Guizzardi, G., Montali, M., Maggi, F.M., Fonseca, C.M. (eds) Enterprise Design, Operations, and Computing. EDOC 2022. Lecture Notes in Computer Science, vol 13585. Springer, Cham. https://doi.org/10.1007/978-3-031-17604-3_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-17604-3_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17603-6

  • Online ISBN: 978-3-031-17604-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation