Using Genetic Algorithm to Improve Classification of Imbalanced Datasets for Credit Card Fraud Detection-Reference-Cited by-同舟云学术

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Using Genetic Algorithm to Improve Classification of Imbalanced Datasets for Credit Card Fraud Detection

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 2nd Cyber Security in Networking Conference (CSNet)
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Author:

Benchaji Ibtissam,Douzi Samira,ElOuahidi Bouabid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8574117/8602668/08602972.pdf?arnumber=8602972

Cited by 9 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. A voting ensemble machine learning based credit card fraud detection using highly imbalance data;Multimedia Tools and Applications;2023-12-07

2. Effective Feature Selection-Based Meta-heuristics Optimization Approach for Spam Detection;SN Computer Science;2023-09-05

3. Fraud Detection in Banking Transactions Using Machine Learning;2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2023-01-27

4. Detecting Forged Receipts with Domain-Specific Ontology-Based Entities & Relations;Lecture Notes in Computer Science;2023

5. Credit Card Fraud Detection using Machine Learning Techniques;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16

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