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English(EN) KONTOGRAPH: Verified Point-in-Time Feature Consistency and Amortised Explanation for Real-Time Anti-Money Laundering under a 200 ms Decision Budget

新的反洗钱系统KONTOGRAPH在200毫秒内处理支付

研究人员开发了KONTOGRAPH,一个专为在严格的200毫秒预算内实时处理欧元信贷转账而设计的反洗钱(AML)系统。该系统利用了具有节点内存的时间图网络,显著提高了其相对于传统梯度提升表格方法的性能。对超过150万笔模拟支付进行的实证研究表明,将已部署的树集成导出到ONNX会改变决策并增加警报量,这凸显了在严格测量之前将格式转换视为模型更改的必要性。 AI

影响 这项研究展示了金融合规领域实时人工智能的进步,可能影响未来的反洗钱系统设计。

排序理由 该集群包含一篇详细介绍新颖系统及其经验研究的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的反洗钱系统KONTOGRAPH在200毫秒内处理支付

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该集群包含一篇详细介绍新颖系统及其经验研究的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ahmed Abolfadl ·

    KONTOGRAPH:在200毫秒决策预算下,实现实时反洗钱的已验证的瞬时特征一致性和摊销解释

    arXiv:2608.22389v1 Announce Type: cross Abstract: Regulation (EU) 2024/886 obliges European payment service providers to settle euro credit transfers in under ten seconds, around the clock. This removes both the overnight batch window in which anti-money-laundering (AML) analytic…