oxidize 发表于 2025-3-23 13:06:31

https://doi.org/10.1007/978-3-322-89750-3iction of online credit loan services (OCLSs) is such a typical scenario. But it has another rather critical challenge, i.e., the scarcity of data labels. Fortunately, GNNs can also cope with this problem due to their good ability of semi-supervised learning by mining structure and feature informati

Aggregate 发表于 2025-3-23 14:22:15

Einführung in die Kostenrechnung.as a promising solution for online lending gang fraud prediction. However, it is challenging that such predictions need to detect evolving and increasingly impalpable fraud patterns based on low-quality data, i.e., very preliminary and coarse applicant information. The technical difficulty mainly st

偏见 发表于 2025-3-23 19:51:38

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构想 发表于 2025-3-23 23:06:28

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calamity 发表于 2025-3-24 04:18:56

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绕着哥哥问 发表于 2025-3-24 09:37:21

Overview of Digital Finance Anti-fraud,lment and cross region, which poses great challenges to traditional anti fraud methods. Therefore, the anti fraud technology should also be constantly innovated. It is not only necessary to accurately combat the existing risks, but also to take the lead to prevent problems before they occur. The beh

是剥皮 发表于 2025-3-24 11:30:55

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Lethargic 发表于 2025-3-24 16:35:43

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nostrum 发表于 2025-3-24 21:41:22

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最后一个 发表于 2025-3-25 03:12:40

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查看完整版本: Titlebook: Anti-Fraud Engineering for Digital Finance; Behavioral Modeling Cheng Wang Book 2023 Tongji University Press 2023 Learning Automata.Fraud