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- W2951751957 abstract "Process mining enables the analysis of event logs to gain actionable insights into an organisation’s operations. However, state-of-the-art process mining techniques do not exploit the natural decomposition characteristics of business processes. “Process stages” are a generic type of business process decomposition prevalent in multiple domains, e.g. the stages of loan processing, the support levels in IT helpdesk, or the clinical stages in patient treatment. This study contributes a novel approach to process mining based on process stages. The approach is grounded on four techniques that allow the mining of process stages, the automated discovery of process models, the mining of process performance and the multi-perspective comparison of process variants. The approach has been implemented in an open-source toolset and evaluated with real-life datasets from different domains." @default.
- W2951751957 created "2019-06-27" @default.
- W2951751957 creator A5049381739 @default.
- W2951751957 date "2019-07-09" @default.
- W2951751957 modified "2023-09-24" @default.
- W2951751957 title "Stage-Aware Business Process Mining" @default.
- W2951751957 doi "https://doi.org/10.5204/thesis.eprints.130602" @default.
- W2951751957 hasPublicationYear "2019" @default.
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