Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-08-27 DOI:10.1080/08839514.2024.2385854

Yansong Wang, Defu Lian, Enhong Chen

引用次数: 0

Abstract

With the rapid development of the automotive finance market in China, fraudulent behaviors present new characteristics such as intellectualization and high concealment. Graph neural networks and me...

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利用双通道记忆网络基于信用审核文本进行欺诈检测

随着中国汽车金融市场的快速发展，欺诈行为呈现出智能化、高隐蔽性等新特点。图神经网络和计算机辅助分析技术的应用，可以有效解决这一问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.