How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark

Published:2018-11 Issue: Volume:76 Page:130-157
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ryman-Tubb Nick F.^ORCID,Krause Paul^ORCID,Garn Wolfgang^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference207 articles.

1. Fraud detection system: A survey;Abdallah;J. Netw. Comput. Appl.,2016

2. Enterprise Fraud Detection and Prevention;ACI-Worldwide,2017

3. A survey of machine-learning and nature-inspired based credit card fraud detection techniques;Adewumi;Int. J. Syst. Assur. Eng. Manag.,2016

4. A survey of anomaly detection techniques in financial domain;Ahmed;Future Gener. Comput. Syst.,2016

5. Electronic payment fraud detection techniques;Al-Khatib;World Comput. Sci. Inf. Technol. J.,2012

Cited by 114 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

1. Market intelligence applications leveraging a product-specific Sentence-RoBERTa model;Applied Soft Computing;2024-11

2. A Hyperparameters Tunned ML Algorithm for Fraud Identification in Banking and Financial Transactions;International Journal of Innovative Science and Research Technology (IJISRT);2024-09-04

3. Towards a mixed human–machine creativity;Journal of Cultural Cognitive Science;2024-07-19

4. CommentClass: A Robust Ensemble Machine Learning Model for Comment Classification;International Journal of Computational Intelligence Systems;2024-07-15

5. Application of artificial intelligence as a knowledge creation instrument in tax procedures;Engineering Applications of Artificial Intelligence;2024-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3