Approx-SMOTE Federated Learning Credit Card Fraud Detection System
Author:
Affiliation:
1. Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China
2. National University of Defense Technology,College of Computer,Changsha,China
Funder
Changsha University of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10196792/10196808/10197073.pdf?arnumber=10197073
Reference15 articles.
1. Adaptive machine learning for credit card fraud detection[J];dal pozzolo,2015
2. Credit Card Fraud Detection: A Novel Approach Using Aggregation Strategy and Feedback Mechanism
3. Federated learning based method for credit card fraud detection[D];yang,2020
4. FlowScope: Spotting Money Laundering Based on Graphs
5. Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees
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2. Federated Learning for Credit Card Fraud Detection: Key Fundamentals and Emerging Trends;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28
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4. Analysis of Machine Learning Based Credit Card Transaction and its Applications;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11
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