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Jul, 2021
电子商务欺诈检测的机器学习:研究议程
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
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Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker...
TL;DR
本文以组织为中心,探讨了反欺诈部门的运营模式,提出了6个研究主题和12个实践挑战,总结了每个研究主题的文献现状,并讨论了解决实践挑战的潜在解决方案,同时发现了22个开放式研究挑战。
Abstract
fraud detection
and
prevention
play an important part in ensuring the sustained operation of any
e-commerce
business.
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