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
doaj +1 more source
An intelligent approach for anomaly detection in credit card data using bat optimization algorithm
Inteligencia Artificial, 2023 As technology advances, many people are utilising credit cards to purchase their necessities, and the number of credit card scams is increasing tremendously.
Haseena Sikkandar +3 more
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Comparative analysis of binary and one-class classification techniques for credit card fraud data
Journal of Big Data, 2023 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 research focuses on the Credit Card Fraud Detection Dataset, which is a
Joffrey L. Leevy +2 more
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CUS-RF-Based Credit Card Fraud Detection with Imbalanced Data
Journal of Risk Analysis and Crisis Response (JRACR), 2022 With the continuous expansion of the banks' credit card businesses, credit card fraud has become a serious threat to banking financial institutions. So, the automatic and real-time credit card fraud detection is the meaningful research work.
Wei Li, Cheng-shu Wu, Su-mei Ruan
doaj +1 more source
Design The Modified Multi Practical Swarm Optimization To Enhance Fraud Detection
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2020 Financial fraud remains an ever-increasing problem in the financial industry with numerous consequences. The detection of fraudulent online transactions via credit cards has always been done using data mining (DM) techniques.
Zainab Khamees Muter, Abeer Tariq Molood
doaj +1 more source
Efficient Resampling for Fraud Detection During Anonymised Credit Card Transactions with Unbalanced Datasets [PDF]
, 2020 The rapid growth of e-commerce and online shopping have resulted in an unprecedented increase in the amount of money that is annually lost to credit card fraudsters.
Petr Mrozek +5 more
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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
doaj +1 more source
Credit card fraud detection through machine learning algorithm [PDF]
Big Data and Computing Visions, 2021 Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies.
Agyan Panda +2 more
doaj +1 more source
A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security
, 2021 The technological revolution is accelerating due to a number of key enabling technologies, such as Artificial Intelligence (AI)/Machine Learning (ML), big data, blockchain, cloud computing, Internet of Thing (IoT).
KC Chan +9 more
core +1 more source
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
, 2021 Due to the rapid growth of the E-Commerce industry, the use of credit cards for online purchases has increased dramatically. In recent years, credit card fraud is becoming a major complication for banks as it has become very difficult for detecting fraud
Marabad, Sanmati
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