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TracePrism: Extending Semantic Trace Topics to Iterative, Encoding-Aware Trace Partitioning
Process mining typically explains an event log with a single model, clustering, or classifier fitted to all cases, although real logs often mix cases that follow different sub-processes. Trace clustering separates sub-populations, but it fixes one notion of trace similarity for the whole analysis. W
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