Process discovery using in-database minimum self distance abstractions

Published: Mar 30, 2020
Abstract
Process executions generate event data that are typically stored in legacy information systems, such as databases. However, process discovery, which requires such event data, is performed in main memory. To bridge this gap, existing techniques must transform and extract event data, which can be expensive steps. This issue has been addressed by processing the event data directly in their origin. However, existing methods rely only on the simplest...
Paper Details
Title
Process discovery using in-database minimum self distance abstractions
Published Date
Mar 30, 2020
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