English(EN) Resolution limits for process comparison from event data

新研究强调事件数据过程挖掘的局限性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-18 04:00

Antony Richard Leeming 在 arXiv 上发表的一篇新论文讨论了当前过程挖掘技术的局限性。研究表明，依赖事件日志的标准方法可以同样地解释并发和顺序过程，从而可能导致运营经理的误解。Leeming 提出，通过整合额外数据，如活动开始和结束时间或以对象为中心的记录，可以恢复并发和顺序行为之间的区别，从而实现更准确的运营规划。 AI

影响这项研究通过提供更准确的并发和顺序过程区分，有可能提高依赖过程挖掘的系统的运营效率。

排序理由该集群包含一篇在 arXiv 上发表的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv stat.ML TIER_1 English(EN) · Antony R. Lee, Peter Ti\v{n}o, Iain B. Styles · 2026-09-18 04:00

从事件数据中进行流程比较的分辨率限制

arXiv:2609.20489v1 Announce Type: cross Abstract: 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 manager…

本文如何被排名

报道来源 [1]

从事件数据中进行流程比较的分辨率限制

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