A feature extraction method for credit card fraud detection

Y Xie, G Liu, R Cao, Z Li, C Yan… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
As credit card fraud has caused huge economic losses and harm cardholders seriously,
credit card fraud detection is important and has been paid much attention. An effective …

Fraud feature boosting mechanism and spiral oversampling balancing technique for credit card fraud detection

L Ni, J Li, H Xu, X Wang, J Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the flourishing of the credit card business and Internet technology, the risk of fraudulent
credit card transactions is ever-increasing due to the complex information involved in the …

Feature engineering strategies for credit card fraud detection

AC Bahnsen, D Aouada, A Stojanovic… - Expert Systems with …, 2016 - Elsevier
Every year billions of Euros are lost worldwide due to credit card fraud. Thus, forcing
financial institutions to continuously improve their fraud detection systems. In recent years …

Credit card fraud detection using capsule network

S Wang, G Liu, Z Li, S Xuan, C Yan… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Credit card is now popular in daily life. Meanwhile, credit card fraud events occur more
frequently, which result in massive financial losses. There are a number of fraud detection …

Learning transactional behavioral representations for credit card fraud detection

Y Xie, G Liu, C Yan, C Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Credit card fraud detection is a challenging task since fraudulent actions are hidden in
massive legitimate behaviors. This work aims to learn a new representation for each …

HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture

X Zhang, Y Han, W Xu, Q Wang - Information Sciences, 2021 - Elsevier
Credit card transaction fraud costs billions of dollars to card issuers every year. A well-
developed fraud detection system with a state-of-the-art fraud detection model is regarded …

A behavior-cluster based imbalanced classification method for credit card fraud detection

Q Li, Y Xie - Proceedings of the 2019 2nd International Conference …, 2019 - dl.acm.org
Credit card fraud detection has been paid more and more attention by researchers. The
credit card transactions are represented by highly imbalanced data sets. The number of …

Credit card fraud detection: A novel approach using aggregation strategy and feedback mechanism

C Jiang, J Song, G Liu, L Zheng… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the rapid development of electronic commerce, the number of transactions by credit
cards are increasing rapidly. As online shopping becomes the most popular transaction …

Credit card fraud detection using convolutional neural networks

K Fu, D Cheng, Y Tu, L Zhang - … , ICONIP 2016, Kyoto, Japan, October 16 …, 2016 - Springer
Credit card is becoming more and more popular in financial transactions, at the same time
frauds are also increasing. Conventional methods use rule-based expert systems to detect …

Approaches to Fraud detection on credit card transactions using artificial intelligence methods

Y Yazici - arXiv preprint arXiv:2007.14622, 2020 - arxiv.org
Credit card fraud is an ongoing problem for almost all industries in the world, and it raises
millions of dollars to the global economy each year. Therefore, there is a number of research …