A soft voting ensemble learning approach for credit card fraud detection [PDF]
HeliyonWith the advancement of e-commerce and modern technological development, credit cards are widely used for both online and offline purchases, which has increased the number of daily fraudulent transactions.
Mimusa Azim Mim +2 more
doaj +3 more sources
A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme [PDF]
PeerJ Computer ScienceOnline transactions are still the backbone of the financial industry worldwide today. Millions of consumers use credit cards for their daily transactions, which has led to an exponential rise in credit card fraud.
Abdul Qayoom +7 more
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International Journal Of Recent Trends In Multidisciplinary ResearchWith the exponential rise in online financial transactions, credit card fraud has become a pressing challenge for both consumers and financial institutions. Conventional rule-based detection systems are increasingly ineffective in identifying sophisticated and evolving fraud patterns, often resulting in high false positive rates and delayed responses ...
Popova, Iva, Gardi, Hamza A. A.
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Gated attention based generative adversarial networks for imbalanced credit card fraud detection [PDF]
PeerJ Computer ScienceCredit card fraud detection is highly important to maintain financial security. However, it is challenging to train suitable models due to the class imbalance in credit card transaction data.
Jiangmeng Ge +3 more
doaj +3 more sources
Optimizing credit card fraud detection with random forests and SMOTE.
Sci RepIn the financial world, Credit card fraud is a budding apprehension in the banking sector, necessitating the development of efficient detection methods to minimize financial losses.
Sundaravadivel P +5 more
europepmc +2 more sources
A machine learning based credit card fraud detection using the GA algorithm for feature selection
Journal of Big Data, 2022 The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
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Credit Card Fraud Detection Using AdaBoost and Majority Voting [PDF]
IEEE Access, 2018 Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to credit card fraud every year. There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues.
Kuldeep Randhawa +4 more
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CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network [PDF]
PeerJ Computer Science, 2023 Credit card fraud can lead to significant financial losses for both individuals and financial institutions. In this article, we propose a novel method called CTCN, which uses Conditional Tabular Generative Adversarial Networks (CTGAN) and temporal ...
Xiaoyan Zhao, Shaopeng Guan
doaj +3 more sources
Credit card fraud detection using a hierarchical behavior-knowledge space model. [PDF]
PLoS ONE, 2022 With the advancement in machine learning, researchers continue to devise and implement effective intelligent methods for fraud detection in the financial sector.
Asoke K Nandi +4 more
doaj +2 more sources
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
IEEE Access, 2022 People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced.
Fawaz Khaled Alarfaj +5 more
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