Analysis of Business Processes with Automatic Detection of KPI Thresholds and Process Discovery Based on Trace Variants
Taro Takei,
Hiroki Horita
Abstract:One effective way to analyze an event log of a complex business process is to filter the event log by a KPI threshold and then use an analysis algorithm. Event logs filtered by KPI thresholds are simpler and easier to understand than the original business process. KPI thresholds have conventionally had to be set through a trial-and-error process, but existing research has proposed an automatic KPI threshold detection method that reduces the time and effort required to search for a threshold value. In the exist… Show more
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