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http://hdl.handle.net/1942/34836
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 | Document URI: | http://hdl.handle.net/1942/34836 | ISBN: | 9783030854393 9783030854409 |
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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Conference_Paper_BPM_2021.pdf | Peer-reviewed author version | 469.58 kB | Adobe PDF | View/Open |
Pages from 10.1007_978-3-030-85440-9.pdf Restricted Access | Published version | 411.71 kB | Adobe PDF | View/Open Request a copy |
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