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[HTML][HTML] Credit card fraud detection in the era of disruptive technologies: A systematic review
Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …
of innovative technologies and communication methods, such as contactless payment. In …
Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science
Credit risk is the critical problem faced by banking and financial sectors when the borrower
fails to complete their commitments to pay back. The factors that could increase credit risk …
fails to complete their commitments to pay back. The factors that could increase credit risk …
A deep learning ensemble with data resampling for credit card fraud detection
Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …
grown tremendously, accompanied by a corresponding increase in credit card fraud …
Review of machine learning approach on credit card fraud detection
Massive usage of credit cards has caused an escalation of fraud. Usage of credit cards has
resulted in the growth of online business advancement and ease of the e-payment system …
resulted in the growth of online business advancement and ease of the e-payment system …
An intelligent payment card fraud detection system
Payment cards offer a simple and convenient method for making purchases. Owing to the
increase in the usage of payment cards, especially in online purchases, fraud cases are on …
increase in the usage of payment cards, especially in online purchases, fraud cases are on …
Learning transactional behavioral representations for credit card fraud detection
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 …
massive legitimate behaviors. This work aims to learn a new representation for each …
Competition-driven multimodal multiobjective optimization and its application to feature selection for credit card fraud detection
Feature selection has been considered as an effective method to solve imbalanced
classification problems. It can be formulated as a multiobjective optimization problem (MOP) …
classification problems. It can be formulated as a multiobjective optimization problem (MOP) …
A machine learning method with hybrid feature selection for improved credit card fraud detection
With the rapid developments in electronic commerce and digital payment technologies,
credit card transactions have increased significantly. Machine learning (ML) has been vital …
credit card transactions have increased significantly. Machine learning (ML) has been vital …
A novel text2IMG mechanism of credit card fraud detection: A deep learning approach
Online sales and purchases are increasing daily, and they generally involve credit card
transactions. This not only provides convenience to the end-user but also increases the …
transactions. This not only provides convenience to the end-user but also increases the …
Joint deployment optimization and flight trajectory planning for UAV assisted IoT data collection: A bilevel optimization approach
This work investigates an unmanned aerial vehicle (UAV) assisted IoT system, where a UAV
flies to each foothold to collect data from IoT devices, and then return to its start point. For …
flies to each foothold to collect data from IoT devices, and then return to its start point. For …