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A Framework to Support the Validation of Process Mining Inquiries

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Business Process Management Forum (BPM 2024)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 526))

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Abstract

In exploratory process mining, analysts often start with limited knowledge of the log. As they seek to improve their understanding of the log, they develop expectations about what the results might be. Based on these expectations, they then make inquiries and translate them into queries against the log. However, during the analysis, analysts need to evaluate and compare the results of their queries to be able to validate them against their expectations. In this paper, we propose a framework to support process analysts in validating their query results and to enable them to reflect on their analytical process. The framework helps analysts to record their queries and results and allows them to characterize and compare the results obtained with different queries, thereby facilitating the validation process. We implemented the framework as a Python library that can be easily extended and integrated into existing process mining environments. We also demonstrated the usefulness of the framework through an extensive analysis of a real event log.

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Notes

  1. 1.

    Process mining techniques also provide event filters. In this paper, we focus on cases as we consider them as the main unit of interest for the analysis.

  2. 2.

    LogView: https://zenodo.org/doi/10.5281/zenodo.11404207.

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Acknowledgment

This work is part of the ProMiSE project, funded by the Swiss National Science Foundation under Grant No.: 200021_197032.

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Authors and Affiliations

  1. University of St. Gallen, St. Gallen, Switzerland

    Francesca Zerbato, Marco Franceschetti & Barbara Weber

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Francesca Zerbato

Authors
  1. Francesca Zerbato
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  2. Marco Franceschetti
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  3. Barbara Weber
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Corresponding author

Correspondence to Francesca Zerbato .

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Editors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Andrea Marrella

  2. University of Seville, Seville, Spain

    Manuel Resinas

  3. Hasselt University, Hasselt, Belgium

    Mieke Jans

  4. Queensland University of Technology, Brisbane, QLD, Australia

    Michael Rosemann

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Zerbato, F., Franceschetti, M., Weber, B. (2024). A Framework to Support the Validation of Process Mining Inquiries. In: Marrella, A., Resinas, M., Jans, M., Rosemann, M. (eds) Business Process Management Forum. BPM 2024. Lecture Notes in Business Information Processing, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-70418-5_15

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  • DOI: https://doi.org/10.1007/978-3-031-70418-5_15

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