机构

• 计算技术研究所 [6]
• 自动化研究所 [6]
• 地理科学与资源研究所 [2]
• 数学与系统科学研究院 [2]
• 南海海洋研究所 [1]
• 软件研究所 [1]
• 更多

采集方式

• OAI收割 [19]

内容类型

• 期刊论文 [17]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2025 [1]
• 2024 [3]
• 2023 [3]
• 2022 [2]
• 2021 [4]
• 2019 [1]
• 更多

学科主题

• Food Scien... [1]

筛选

浏览/检索结果: 共19条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Multiplex graph fusion network with reinforcement structure learning for fraud detection in online e-commerce platforms 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2025, 卷号: 262, 页码: 12 作者:  Zhang, Zheng;  Ao, Xiang;  Tessone, Claudio J.;  Liu, Gang;  Zhou, Mingyang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/12/06 Fraud detection  Graph neural networks  Graph structure learning  Metapath  Multigraph fusion   Financial fraud detection for Chinese listed firms: Does managers' abnormal tone matter? 期刊论文  OAI收割 EMERGING MARKETS REVIEW, 2024, 卷号: 62, 页码: 14 作者:  Li, Jingyu;  Guo, Ce;  Lv, Sijia;  Xie, Qiwei;  Zheng, Xiaolong   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/09/09 Financial fraud  Managers' abnormal tone  Machine learning  Feature selection   Multipattern Integrated Networks With Contrastive Pretraining for Graph Anomaly Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 12 作者:  Yang, Manzhi;  Zhang, Jian;  Lin, Liyuan;  Han, Jinpeng;  Chen, Xiaoguang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/09/09 Fraud  Contrastive learning  Representation learning  Telecommunications  Credit cards  Collaboration  Task analysis  Anomaly detection  contrastive learning  graph neural network  network representation learning   A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 377-390 作者:  Honghao Zhu;  MengChu Zhou;  Yu Xie;  Aiiad Albeshri   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/01/23 Credit card fraud detection (CCFD)  dandelion algorithm (DA)  feature selection  normal sowing operator   Improving fraud detection via imbalanced graph structure learning 期刊论文  OAI收割 MACHINE LEARNING, 2023, 页码: 22 作者:  Ren, Lingfei;  Hu, Ruimin;  Liu, Yang;  Li, Dengshi;  Wu, Junhang   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/05/20 Fraud detection  Graph structure learning  Homophily  Heterophily   Dynamic graph neural network-based fraud detectors against collaborative fraudsters 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 278, 页码: 12 作者:  Ren, Lingfei;  Hu, Ruimin;  Li, Dengshi;  Liu, Yang;  Wu, Junhang   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/12/04 Telecom fraud detection  Collaborative fraud  Semi -supervised learning  Dynamic graph neural network   Improving fraud detection via hierarchical attention-based Graph Neural Network 期刊论文  OAI收割 JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2023, 卷号: 72, 页码: 10 作者:  Liu, Yajing;  Sun, Zhengya;  Zhang, Wensheng   |  收藏  |  浏览/下载：19/0  |  提交时间：2023/02/22 Graph Neural Networks  Fraud detection  Attention mechanism   eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks 期刊论文  OAI收割 ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 卷号: 40, 期号: 3, 页码: 29 作者:  Zhang, Ge;  Li, Zhao;  Huang, Jiaming;  Wu, Jia;  Zhou, Chuan   |  收藏  |  浏览/下载：94/0  |  提交时间：2022/04/29 Online e-commerce platforms  fraud detection system  graph neural networks   Exploring the Risky Travel Area and Behavior of Car-hailing Service 期刊论文  OAI收割 ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2022, 卷号: 13, 期号: 1, 页码: 22 作者:  Niu, Hongting;  Zhu, Hengshu;  Sun, Ying;  Lu, Xinjiang;  Sun, Jing   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/01/10 Risk analysis  fraud detection  bipartite graph optimization  order sequence syndrome  anomaly detection   The Spatiotemporal Pattern and Driving Factors of Cyber Fraud Crime in China 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 12, 页码: 12 作者:  Chen, Shuai;  Gao, Chundong;  Jiang, Dong;  Hao, Mengmeng;  Ding, Fangyu   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/09/21 cyber fraud  spatiotemporal pattern  driving factors  spatial autocorrelation  generalized additive model