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Title: Looking Beyond Activity Labels: Mining Context-Aware Resource Profiles Using Activity Instance Archetypes
Authors: VAN HULZEN, Gerard 
MARTIN, Niels 
DEPAIRE, Benoit 
Issue Date: 2021
Publisher: Springer Nature Switzerland AG
Source: Polyvyanyy, Artem; Wynn, Moe Thandar; Van Looy, Amy; Reichert, Manfred (Ed.). Proceedings of the Business Process Management Forum 2021, Springer Nature Switzerland AG, p. 230 -245
Series/Report: Lecture Notes in Business Information Processing
Series/Report no.: 427
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.
Keywords: Process mining;Organisational mining;Resource profiles;Context-aware process mining
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ISBN: 9783030854393
ISSN: 1865-1348
DOI: 10.1007/978-3-030-85440-9_14
ISI #: 000724008300014
Datasets of the publication: 10.5281/zenodo.4606757
Rights: Springer Nature Switzerland AG 2021
Category: C1
Type: Proceedings Paper
Validations: ecoom 2022
Appears in Collections:Research publications

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