Defining Meaningful Local Process Models

نویسندگان

چکیده

Current process discovery techniques are unable to produce meaningful models for semi-structured processes, as they either too inaccurate or complex. In this paper we use the idea of local (LPMs) model fragments a and explore potential sets LPMs. Automatic LPM finds many small patterns but doesn’t find larger than 4–5 events, it produces models, discovered describe some events from log multiple times while leaving others unexplained. We manually construct set LPMs well-known BPIC12 event that (1) contains number (2) have high accuracy measures such fitness precision (3) together cover whole (4) do not parts unnecessarily. existing evaluation work propose several help determine quality both individual show can indeed be used processes by thinking monolithic, rather collection smaller working together.

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ژورنال

عنوان ژورنال: Lecture Notes in Computer Science

سال: 2022

ISSN: ['1611-3349', '0302-9743']

DOI: https://doi.org/10.1007/978-3-662-65303-6_2