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• W2911965019 abstract "Reference models are special conceptual models that are reused for the design of other conceptual models. They confront stakeholders with the dilemma of balancing the size of a model against its reuse frequency. The larger a reference model is, the better it applies to a specific situation, but the less often these situations occur. This is particularly important when mining a reference model from large process logs, as this often produces complex and unstructured models. To address this dilemma, we present a new approach for mining reference model components by vertically dividing complex process traces and hierarchically clustering activities based on their proximity in the log. We construct a hierarchy of subprocesses, where the lower a component is placed the smaller and the more structured it is. The approach is implemented as a proof-of-concept and evaluated using the data from the 2017 BPI challenge." @default.
• W2911965019 created "2019-02-21" @default.
• W2911965019 creator A5041924999 @default.
• W2911965019 creator A5056060445 @default.
• W2911965019 date "2019-01-01" @default.
• W2911965019 modified "2023-10-16" @default.
• W2911965019 title "Clustering Business Process Activities for Identifying Reference Model Components" @default.
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• W2911965019 doi "https://doi.org/10.1007/978-3-030-11641-5_1" @default.
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