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- W3083556706 abstract "Process mining enables organizations to capture and improve their processes based on fact-based process execution data. A key question in the context of process improvement is how response s to an event (action) result in desired or undesired outcomes (effects). From a process perspective, this requires understanding the action-response patterns that occur. Current discovery techniques do not allow organizations to gain such insights. In this paper we present a novel approach to tackle this problem. We propose and formalize a technique to discover action-response-effect patterns. In this technique we use well-established statistical tests to uncover potential dependency relations between each response and its effect s on the cases. The goal of this technique is to provide organizations with processes that are: (1) appropriately represented, and (2) effectively filtered to show meaningful relations. The approach is evaluated on a real-world data set from a Dutch healthcare facility in the context of aggressive behavior of clients and the response s of caretakers." @default.
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- W3083556706 date "2020-01-01" @default.
- W3083556706 modified "2023-09-26" @default.
- W3083556706 title "Looking for Meaning: Discovering Action-Response-Effect Patterns in Business Processes" @default.
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- W3083556706 doi "https://doi.org/10.1007/978-3-030-58666-9_10" @default.
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