English(EN) Decision-Aware Suffix Prediction and Reasoning of Business Processes

新框架通过决策挖掘增强业务流程后缀预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 04:00

研究人员开发了一个新的业务流程后缀预测框架，增强了剩余事件序列的预测能力。该方法将决策挖掘与神经网络相结合，创建了一种神经符号方法，该方法利用挖掘出的决策规则来推理预测的事件。该框架旨在提高预测准确性，特别是对于短前缀和罕见的流程变体，同时还提供内在的可解释性。 AI

影响引入了一种新颖的神经符号方法，以提高业务流程预测和可解释性。

排序理由该条目是发表在arXiv上的一篇学术论文，详细介绍了一个用于业务流程分析的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

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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arXiv cs.AI TIER_1 English(EN) · Henryk Mustroph, Stefanie Rinderle-Ma · 2026-09-10 04:00

面向业务流程的决策感知后缀预测与推理

arXiv:2609.06169v1 Announce Type: cross Abstract: Suffix prediction forecasts the remaining sequence of events of a running case until completion. Most approaches rely on neural networks trained on event logs, which, on average, perform well but struggle with short prefixes or ta…