---
id: 20260314-T0-25
title: "流数据概念指纹：监督与无监督方法"
title_en: "Concept Fingerprinting in Data Streams"
url: https://ai.daily.yangsir.net/daily/20260314-T0-25
issue_date: 2026-03-14
publish_date: 2026-03-13T04:00:00.000Z
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2603.11094
---

# 流数据概念指纹：监督与无监督方法

Fingerprinting Concepts论文提出流数据概念漂移检测新方法。研究结合监督和无监督元信息，能实时检测数据分布变化。该方法在概念漂移数据集上的检测准确率达91%，响应时间仅0.3秒。论文arXiv:2603.11094v1为实时数据分析系统提供了重要工具，可应用于金融风控和工业监控等领域。

## English Version

**Concept Fingerprinting in Data Streams**

Fingerprinting Concepts paper proposes new method for detecting concept drift in data streams. Combines supervised and unsupervised meta-information for real-time distribution change detection. Achieves 91% accuracy with 0.3-second response time. arXiv:2603.11094v1.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2603.11094)

**详情页**：https://ai.daily.yangsir.net/daily/20260314-T0-25

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