Abstract
Efficient resource management is a critical success factor for all businesses. Correct insights into actual resource profiles, i.e. groups of resources performing similar activity instances, is important for successful knowledge and (human) resource management. To this end, organisational mining, a subfield of Process Mining, focuses on techniques to extract such resource profiles from event logs. However, existing techniques ignore contextual factors that impact how and by whom an activity is performed. This paper introduces the novel method ResProMin to discover context-aware resource profiles from event logs. In contrast to the state-of-the-art, this method builds upon the notion of activity instance archetypes, which incorporates the activity instance’s context. An evaluation of the method on real-life event logs demonstrates its feasibility and potential to uncover valuable business insights.
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Acknowledgements
This study was supported by the Special Research Fund (BOF) of Hasselt University under Grant No. BOF19OWB20.
The resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government.
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van Hulzen, G., Martin, N., Depaire, B. (2021). Looking Beyond Activity Labels: Mining Context-Aware Resource Profiles Using Activity Instance Archetypes. In: Polyvyanyy, A., Wynn, M.T., Van Looy, A., Reichert, M. (eds) Business Process Management Forum. BPM 2021. Lecture Notes in Business Information Processing, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-030-85440-9_14
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