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Are Similar Cases Treated Similarly? A Comparison Between Process Workers

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Business Information Systems (BIS 2019)

Abstract

In processes involving human professional judgment (e.g., in Knowledge Intensive processes) it is not easy to verify if similar cases receive similar treatment. In these processes there is a risk of dissimilar treatment as human process workers may develop their individual experiences and convictions or change their behavior due to changes in workload or season. Awareness of dissimilar treatment of similar cases may prevent disputes, inefficiencies, or non-compliance with regulations that require similar treatment of similar cases. In this article two procedures are presented for testing in an objective (statistical) way if different groups of process workers treat similar cases in a similar way. The testing is based on splitting the event log of a process in parts corresponding to the different (groups of) process workers and analyzing the sequences of events in each part. The two procedures are demonstrated on an example using synthetic data and on a real life event log.

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References

  1. Bakeman, R., Gottman, J.M.: Observing Interaction: An Introduction to Sequential Analysis. Cambridge University Press, New York (1997)

    Book  Google Scholar 

  2. Bolt, A., van der Aalst, W.M.P., de Leoni, M.: Finding process variants in event logs. In: Panetto, H., et al. (eds.) OTM 2017. LNCS, vol. 10573, pp. 45–52. Springer, Cham (2017)

    Google Scholar 

  3. Bose, R.J.C., Van Der Aalst, W.M., Zliobaite, I., Pechenizkiy, M.: Dealing with concept drifts in process mining. IEEE Trans. Neural Netw. Learn.Syst. 25(1), 154–171 (2014)

    Article  Google Scholar 

  4. van Dongen, B.F.; Borchert, F.: BPI challenge 2018 (2018). https://doi.org/10.4121/uuid:3301445f-95e8-4ff0-98a4-901f1f204972

  5. Hald, A.: Statistical theory with engineering applications. In: Statistical Theory with Engineering Applications. Wiley (1952)

    Google Scholar 

  6. Kanji, G.K.: 100 Statistical Tests, 3rd edn. Sage Publications, London (2006)

    Book  Google Scholar 

  7. Lipton, Z.C., Berkowitz, J., Elkan, C.: A critical review of recurrent neural networks for sequence learning (2015). arXiv preprint arXiv:1506.00019

  8. Maaradji, A., Dumas, M., La Rosa, M., Ostovar, A.: Fast and accurate business process drift detection. In: Motahari-Nezhad, H.R., Recker, J., Weidlich, M. (eds.) BPM 2015. LNCS, vol. 9253, pp. 406–422. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-23063-4_27

    Chapter  Google Scholar 

  9. Marin, M.A., Hauder, M., Matthes, F.: Case management: an evaluation of existing approaches for knowledge-intensive processes. In: Reichert, M., Reijers, H.A. (eds.) BPM 2015. LNBIP, vol. 256, pp. 5–16. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42887-1_1

    Chapter  Google Scholar 

  10. Ostovar, A., Leemans, S.J., La Rosa, M.: Robust drift characterization from event streams of business processes. Internal Report (2018)

    Google Scholar 

  11. Pauwels, S., Calders, T.: Detecting and explaining drifts in yearly grant applications (2018). arXiv preprint arXiv:1809.05650

  12. Yates, D., Moore, D., McCabe, G.: The Practice of Statistics, 1st edn. W.H. Freeman, New York (1999)

    Google Scholar 

  13. Zaki, M.J.: Spade: an efficient algorithm for mining frequent sequences. Mach. Learn. 42(1–2), 31–60 (2001)

    Article  Google Scholar 

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Correspondence to Mark Pijnenburg .

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Pijnenburg, M., Kowalczyk, W. (2019). Are Similar Cases Treated Similarly? A Comparison Between Process Workers. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-20482-2_14

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  • DOI: https://doi.org/10.1007/978-3-030-20482-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20481-5

  • Online ISBN: 978-3-030-20482-2

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