New research highlights limitations in process mining from event data

A new paper published on arXiv by Antony Richard Leeming addresses the limitations of current process mining techniques. The research demonstrates that standard methods, which rely on event logs, can equally explain concurrent and sequential processes, leading to potential misinterpretations for operational managers. Leeming proposes that by incorporating additional data, such as activity start and end times or object-centric records, the distinction between concurrent and sequential behaviors can be recovered, leading to more accurate operational planning. AI

IMPACT This research could improve operational efficiency in systems that rely on process mining by providing more accurate distinctions between concurrent and sequential processes.

RANK_REASON The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

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• Antony Richard Leeming
• arXiv

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