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Thesis title: Reliability in Process Discovery Process discovery automatically constructs process models using system execution data. This research investigates how decisions and conditions across the process discovery pipeline — including data quality, noise, and discovery methods — affect the reliability of the resulting model as a representation of the underlying process, and develops practical approaches and tools for assessing their reliability under different data conditions.

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