Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study-Reference-Cited by-同舟云学术

Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study

Published:2023-03-01 Issue:2 Volume:20 Page:1169-1185
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Wu Yiming¹^ORCID,Xie Zhiyuan¹,Ji Shouling¹^ORCID,Liu Zhenguang²^ORCID,Zhang Xuhong³,Lin Changting⁴,Deng Shuiguang¹^ORCID,Zhou Jun⁵,Wang Ting⁶^ORCID,Beyah Raheem⁷

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China

2. Department of Computer Science, Zhejiang Gongshang University, Hangzhou, Zhejiang, China

3. College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China

4. Binjiang Institute of Zhejiang University, Zhejiang University, Hangzhou, Zhejiang, China

5. Ant Group, Hangzhou, Zhejiang, China

6. College of Information Sciences and Technology, Pennsylvania State University, State College, PA, USA

7. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholars

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/10068314/09713669.pdf?arnumber=9713669

Reference48 articles.

1. XGBoost

2. Social Media-Driven Credit Scoring: The Predictive Value of Social Structures

3. Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach

4. Classification system for mortgage arrear management

5. Inferring user demographics and social strategies in mobile social networks

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