Credit card fraud detection using XGBoost for imbalanced data set

Author:

Purwar Archana1ORCID,Manju Ms.1ORCID

Affiliation:

1. Jaypee Institute of Information Technology, India

Publisher

ACM

Reference20 articles.

1. Ileberi Emmanuel Yanxia Sun and Zenghui Wang. 2022.A machine learning based credit card fraud detection using the GA algorithm for feature selection. Journal of Big Data 9.1: 1-17. Ileberi Emmanuel Yanxia Sun and Zenghui Wang. 2022.A machine learning based credit card fraud detection using the GA algorithm for feature selection. Journal of Big Data 9.1: 1-17.

2. Mienye IbomoiyeDomor and Yanxia Sun.2023. A Deep Learning Ensemble with Data Resampling for Credit Card Fraud Detection. IEEE Access. Mienye IbomoiyeDomor and Yanxia Sun.2023. A Deep Learning Ensemble with Data Resampling for Credit Card Fraud Detection. IEEE Access.

3. Sasikala G. 2022. An Innovative Sensing Machine Learning Technique to Detect Credit Card Frauds in Wireless Communications. Wireless Communications and Mobile Computing 2022. Sasikala G. 2022. An Innovative Sensing Machine Learning Technique to Detect Credit Card Frauds in Wireless Communications. Wireless Communications and Mobile Computing 2022.

4. R. R. Popat and J. Chaudhary . 2018. A Survey on Credit Card Fraud Detection Using Machine Learning , Proc. 2nd Int. Conf. Trends Electron. Informatics, ICOEI 2018 , vol. 25 , no. 01, pp. 1120– 1125 . R. R. Popat and J. Chaudhary. 2018. A Survey on Credit Card Fraud Detection Using Machine Learning, Proc. 2nd Int. Conf. Trends Electron. Informatics, ICOEI 2018, vol. 25, no. 01, pp. 1120–1125.

5. O. Adepoju , J. Wosowei , S. Lawte , and H. Jaiman . 2019 . Comparative Evaluation of Credit Card Fraud Detection Using Machine Learning Techniques, 2019 Glob. Conf. Adv. Technol. GCAT 2019 , pp.1– 6 . O. Adepoju, J. Wosowei, S. Lawte, and H. Jaiman. 2019. Comparative Evaluation of Credit Card Fraud Detection Using Machine Learning Techniques, 2019 Glob. Conf. Adv. Technol. GCAT 2019, pp.1–6.

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