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English(EN) When Can Fraud Operations Authorize Automation? A Decision-Support Framework for Fresh Audit Evidence and Review Workload

新框架通过考虑证据新鲜度优化欺诈自动化

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一个名为“新鲜度约束审计能力”（FCAC）的新型决策支持框架，以帮助欺诈运营确定何时自动化操作。该框架考虑了操作风险、证据新鲜度和共享审查能力，以在管理工作量的同时优化自动化率。在IEEE-CIS、ULB-Worldline和Elliptic++等数据集上进行的实验表明，自动化率在67.4%到84.4%之间，相应的审查工作量在24.1%到46.0%之间。研究结果强调了审计新鲜度和分析师能力在设计有效的欺诈检测系统中的关键相互作用。 AI

影响 为优化欺诈检测中的自动化提供了一个框架，有可能提高金融运营的效率和准确性。

排序理由 该集群包含一篇详细介绍新框架和实验结果的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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 →

新框架通过考虑证据新鲜度优化欺诈自动化

本文如何被排名

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该集群包含一篇详细介绍新框架和实验结果的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Jie Deng (Tongji University, Shanghai, China) ·

    欺诈运营何时可以授权自动化？面向新鲜审计证据和审查工作量的决策支持框架

    arXiv:2608.08577v1 Announce Type: cross Abstract: Fraud operations must allocate events among automatic approval, analyst review, and automatic blocking even though the labels needed to evaluate these actions are selective and delayed. Predictive scores order cases, but they do n…

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