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

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书目名称Anti-Fraud Engineering for Digital Finance影响因子(影响力)




书目名称Anti-Fraud Engineering for Digital Finance影响因子(影响力)学科排名




书目名称Anti-Fraud Engineering for Digital Finance网络公开度




书目名称Anti-Fraud Engineering for Digital Finance网络公开度学科排名




书目名称Anti-Fraud Engineering for Digital Finance被引频次




书目名称Anti-Fraud Engineering for Digital Finance被引频次学科排名




书目名称Anti-Fraud Engineering for Digital Finance年度引用




书目名称Anti-Fraud Engineering for Digital Finance年度引用学科排名




书目名称Anti-Fraud Engineering for Digital Finance读者反馈




书目名称Anti-Fraud Engineering for Digital Finance读者反馈学科排名

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Verfahrenstechnik in Einzeldarstellungenent, the applications of digital financial technology have significantly reduced the information asymmetry in the financial field and made great contributions to improving the financial market. However, everything has two sides, especially new things. Digital financial technology is on the ascendant

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https://doi.org/10.1007/978-3-662-01501-8 in rapidly evolving e-commerce. Behavior-based methods are recognized as a promising method for online payment fraud detection. However, it is a big challenge to build high-resolution behavioral models by using low-quality behavioral data. In this work, we mainly address this problem from data enha

轻率看法

Einführung in die Kostenrechnungn, a challenge faced by online service, plays an important role in rapidly evolving e-commerce. At present, most platforms use rule systems or machine learning based technologies to detect fraud. It is usually taken for granted that the occurrence of unauthorized behaviors is necessary for fraud det

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