[HTML][HTML] Financial fraud: a review of anomaly detection techniques and recent advances
With the rise of technology and the continued economic growth evident in modern society,
acts of fraud have become much more prevalent in the financial industry, costing institutions …
acts of fraud have become much more prevalent in the financial industry, costing institutions …
[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 …
A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network
J Liu, S Zhang, H Fan - Expert Systems with Applications, 2022 - Elsevier
The credit risk prediction technique is an indispensable financial tool for measuring the
default probability of credit applicants. With the rapid development of machine learning and …
default probability of credit applicants. With the rapid development of machine learning and …
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 …
A novel text2IMG mechanism of credit card fraud detection: A deep learning approach
A Alharbi, M Alshammari, OD Okon, A Alabrah… - Electronics, 2022 - mdpi.com
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 …
Fraud detection and prevention in e-commerce: A systematic literature review
VF Rodrigues, LM Policarpo, DE da Silveira… - Electronic Commerce …, 2022 - Elsevier
The high volume of money involved in e-commerce transactions draws the attention of
fraudsters, which makes fraud prevention and detection techniques of high importance …
fraudsters, which makes fraud prevention and detection techniques of high importance …
Interpretable data science for decision making
K Coussement, DF Benoit - Decision Support Systems, 2021 - Elsevier
This paper describes the foundations of interpretable data science for decision making and
serves as an editorial to the corresponding special issue. Interpretable data science …
serves as an editorial to the corresponding special issue. Interpretable data science …
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 …
Machine learning through the lens of e-commerce initiatives: An up-to-date systematic literature review
LM Policarpo, DE da Silveira, R da Rosa Righi… - Computer Science …, 2021 - Elsevier
E-commerce platforms are a primary place for people to find, compare, and ultimately
purchase products. They employ Machine Learning (ML), Business Intelligence (BI) …
purchase products. They employ Machine Learning (ML), Business Intelligence (BI) …
Performance analysis of metaheuristics based hyperparameters optimization for fraud transactions detection
M Tayebi, S El Kafhali - Evolutionary intelligence, 2024 - Springer
In recent years, detecting fraud transactions has become a popular research topic because
credit card fraud transactions result in the loss of billions of dollars every year. Therefore, the …
credit card fraud transactions result in the loss of billions of dollars every year. Therefore, the …