AI Research

    Goal-driven Variant Categorization

    Bridging the gap between structural process patterns and high-level organizational objectives.

    Process discovery rarely yields a single coherent process structure. For analysis, a common step is to cluster process variants based on structural similarity and then assign business meaning to the resulting groups. Since these partitions are not derived from the organization's ...

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    ArXiv CS.AI

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    ArXiv CS.AI
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    Automating the categorization of process variants allows enterprises to map complex operational data to specific business goals without manual intervention. This shift enables more precise performance diagnostics by aligning structural patterns with actual organizational intent.

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