Comparative analysis of binary and one-class classification techniques for credit card fraud data

JL Leevy, J Hancock, TM Khoshgoftaar - Journal of Big Data, 2023 - Springer
The yearly increase in incidents of credit card fraud can be attributed to the rapid growth of e-
commerce. To address this issue, effective fraud detection methods are essential. Our …

[HTML][HTML] Classification of the optimal rebalancing frequency for pairs trading using machine learning techniques

M Bağcı, PK Soylu - Borsa Istanbul Review, 2024 - Elsevier
Selection of the optimal rebalancing frequency (ORF) is crucial for the pair trading algorithm
(PTA) that periodically rebalances the allocation of two assets. This study proposes a …

One-class classification for credit card fraud detection: A detailed study with comparative insights from binary classification

JL Leevy, J Hancock, TM Khoshgoftaar… - Analytics Modeling in …, 2025 - Springer
Credit card fraud is a pervasive issue that causes significant financial loss, thus
underscoring the urgent need for effective detection techniques. In this book chapter on One …

[PDF][PDF] Detection and prevention WEB-service for fraudulent E-transaction using APRIORI and SVM

SJ Muhamed - Al-Mustansiriyah Journal of Science, 2022 - iasj.net
With the increased use of information technology, many financial services are available to
users at their fingertips. However, this led to many fraud transactions. Automatic fraud …

An AutoEncoder enhanced light gradient boosting machine method for credit card fraud detection

L Ding, L Liu, Y Wang, P Shi, J Yu - PeerJ Computer Science, 2024 - peerj.com
Online financial transactions bring convenience to people's lives, but also present
vulnerabilities for criminals to embezzle users' accounts and trick users into credit card fraud …

Comparative analysis of credit card fraud detection using logistic regression with random forest towards an increase in accuracy of prediction

MV Krishna, J Praveenchandar - … International Conference on …, 2022 - ieeexplore.ieee.org
The study aims to identify the frauds committed using a payment card such as credit cards,
debit cards, and also an experiment is performed to find the best suitable algorithm among …

[HTML][HTML] FedGAT-DCNN: Advanced Credit Card Fraud Detection Using Federated Learning, Graph Attention Networks, and Dilated Convolutions

M Li, J Walsh - Electronics, 2024 - mdpi.com
Credit card fraud detection is a critical issue for financial institutions due to significant
financial losses and the erosion of customer trust. Fraud not only impacts the bottom line but …

Credit card fraud detection using XGBoost algorithm

AQ Abdulghani, ON Uçan… - 2021 14th International …, 2021 - ieeexplore.ieee.org
Credit card is one of the modern payment methods widely spread all over the world. It
provides excellent facilities in purchasing as well as selling operations. However, it suffers …

Tree Based Models: A Comparative And Explainable Study For Credit Default Classification

N Darapaneni, P Srinivas, K Reddy… - 2022 IEEE 9th Uttar …, 2022 - ieeexplore.ieee.org
Most of the real-world problems can be solved with the help of classification. Some problems
that might feel to be regression can also be solved using classification by binning the values …

Methodological proposal to identify the nationality of Twitter users through random-forests

D Quijano, R Gil-Herrera - Plos one, 2023 - journals.plos.org
We disclose a methodology to determine the participants in discussions and their
contributions in social networks with a local relationship (eg, nationality), providing certain …