Ensemble Approach for Credit Card Fraud Detection Using Champion-Challenger Analysis
Author:
Affiliation:
1. Delhi Technological University,Department of Computer Science & Engineering,New Delhi
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9914000/9914005/09914387.pdf?arnumber=9914387
Reference19 articles.
1. A Survey Paper On Credit Card Fraud Detection Techniques;fayyomi;Int J Sci Technol Res,2021
2. RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis
3. LSTM Fully Convolutional Networks for Time Series Classification
4. Creditcard Fraud Detection and Classification Using Machine Learning Based Classifiers;edition,2020
5. An Optimized SVM Model for Detection of Fraudulent Online Credit Card Transactions
Cited by 3 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. Fraud Shield: Credit Card Fraud Detection with Ensemble and Deep Learning;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03
2. Ensemble Learning Approaches for Fraud Detection in Financial Transactions;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11
3. AMWSPLAdaboost Credit Card Fraud Detection Method Based on Enhanced Base Classifier Diversity;IEEE Access;2023
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