Machine Learning for Fraud Detection in E-Commerce: A Research Agenda

Author:

Tax Niek,de Vries Kees Jan,de Jong Mathijs,Dosoula Nikoleta,van den Akker Bram,Smith Jon,Thuong Olivier,Bernardi Lucas

Publisher

Springer International Publishing

Reference88 articles.

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leveraging AI and ML for Proactive Threat Detection for E-Commerce;Advances in Electronic Commerce;2024-09-27

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3. Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach;Lecture Notes in Business Information Processing;2024

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5. A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research;Journal of Theoretical and Applied Electronic Commerce Research;2023-12-04

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