English(EN) Data Provenance Aggregation and Structural Descriptors for Query-Template Identification

新研究使用数据溯源进行查询模板识别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 04:00

一篇新研究论文提出了一种通过分析数据溯源来识别查询模板的新方法。该方法构建了捕获数据依赖性和结构属性的查询级配置文件，并将它们总结为称为数据溯源结构描述符（PSD）的数值特征。使用TPC-DS查询模板进行的实验表明，这些数据溯源足迹可以准确地识别查询模板，并且随着可用历史数据的增加，准确性会提高。 AI

排序理由该集群包含一篇在arXiv上发表的研究论文，该论文详细介绍了一种使用数据溯源进行查询模板识别的新方法。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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Signal score: 10 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Paulo Pintor, Rog\'erio Costa, Jos\'e Moreira · 2026-10-19 04:00

查询模板识别的数据溯源聚合与结构描述符

arXiv:2610.22705v1 Announce Type: cross Abstract: Runtime query similarity identification supports several activities, including workload analysis, identifying recurring behaviour, auditing, debugging, and anomaly detection. Existing methods for evaluating query similarity mostly…

本文如何被排名

报道来源 [1]

查询模板识别的数据溯源聚合与结构描述符

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