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Resolution limits for process comparison from event data — arXiv:2609.20489

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.20489
License (as archived): CC0-1.0
Archived: 2026-10-10T04:09:26.129Z
SHA-256 of the archived text: 2f4c36f4eb5c26e6343331099a8a0b88d936a966654882c4f8418db794f5bffe
Stable URL of this page: https://metraipolis.com/documento/dc_2cb2fb47cd5c

How to cite

Resolution limits for process comparison from event data — arXiv:2609.20489 — arXiv (en), https://arxiv.org/abs/2609.20489 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_2cb2fb47cd5c (Metraipolis archive dc_2cb2fb47cd5c, sha256 2f4c36f4eb5c26e6343331099a8a0b88d936a966654882c4f8418db794f5bffe)

BibTeX

@misc{dc2cb2fb47cd5c,
  title = {Resolution limits for process comparison from event data — arXiv:2609.20489},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.20489},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_2cb2fb47cd5c; sha256 2f4c36f4eb5c26e6343331099a8a0b88d936a966654882c4f8418db794f5bffe},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.20489. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

One hospital runs bloods and imaging at the same time. Another runs them one after the other, in either order, equally often. Knowing which actually happened, and how it is recorded in data, is critical for all operational managers. In process mining, the standard approach is to construct an event log, and attempt to discover concurrent and sequential processes in a data-driven way. We show this standard approach, built on the stochastic language of an event log, reports only the assumptions of its discovery algorithm, because every such log is explained equally well by a model with no concurrency at all. Further, before any data is acquired, we characterise when data can and cannot distinguish concurrent behaviour. Where it cannot, the distinction is recoverable from evidence the stochastic language discards, such as the times at which activities start and end, or object-centric records that fix an order within an execution. The remedy is therefore a choice of what is recorded, rather than a larger sample. This impacts decision making, as planning resource for truly concurrent services is very different from sequential services.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-18 in cs.LG).
Categorie arXiv: Databases (cs.DB) ; Machine Learning (cs.LG); Machine Learning (stat.ML).
Pagina del lavoro: https://arxiv.org/abs/2609.20489 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-10T03:48:18.458Z dalla pagina https://arxiv.org/catchup/cs.LG/2026-09-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).