Feature Engineering and Resampling Strategies for Fund Transfer Fraud With Limited Transaction Data and a Time-Inhomogeneous Modi Operandi-Reference-Cited by-同舟云学术

Feature Engineering and Resampling Strategies for Fund Transfer Fraud With Limited Transaction Data and a Time-Inhomogeneous Modi Operandi

Author:

Hsin Yu-Yen¹,Dai Tian-Shyr²^ORCID,Ti Yen-Wu³^ORCID,Huang Ming-Chuan⁴,Chiang Ting-Hui⁵,Liu Liang-Chih⁶^ORCID

Affiliation:

1. Institute of Finance, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

2. Department of Information Management and Finance, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. College of Artificial Intelligence, Yango University, Fuzhou, China

4. Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

5. Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan

6. Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan

Funder

Ministry of Science and Technology (MOST), Taiwan

Major Project Funding for Social Science Research Base in Fujian Province Social Science Planning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference46 articles.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

4. Detecting Fraud in Motor Insurance Claims Using XGBoost Algorithm with SMOTE;2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA);2023-10-26