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

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書目名稱Anti-Fraud Engineering for Digital Finance影響因子(影響力)




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書目名稱Anti-Fraud Engineering for Digital Finance被引頻次




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書目名稱Anti-Fraud Engineering for Digital Finance年度引用學(xué)科排名




書目名稱Anti-Fraud Engineering for Digital Finance讀者反饋




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漂泊

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

輕率看法

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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