Outlier detection is a significant research direction in machine learning and has many
applications in finance, network security, and other areas. Outlier detection of Euclidean …

The Internet has become an essential part of people's lives, including e-commerce and
online banking. While online transactions are convenient, it also opens up a new opportunity …

Nowadays, people heavily rely on the Internet for various activities, such as e-commerce
(eg, online shopping) and online banking. While online transactions are practical, they also …

Online banking has become one of the most important applications on the Internet, being
provided by most banks around the world. Banking payment systems are based on the …

This endeavor, which centers on the" Credit Card Fraud Detection Using Machine Learning
in Python", is the main goal, and the aims to carefully build a trustworthy credit card fraud …

Dandelion optimization based feature selection with machine learning for digital transaction
fraud detection Page 1 AIMS Mathematics, 9(2): 4241–4258. DOI: 10.3934/math.2024209 …

Online banking has become one of the most important applications on the Internet, being
provided by most banks around the world. Banking payment systems are based on the …

Background. Efforts to resolve cases of crimes against property that have been carried out
by imposing imprisonment have turned out to be unable to recover the losses suffered by …

Credit card fraud is becoming an increasingly prevalent problem in today's financial sector.
An alarming rise in the number of fraud-related activities has been observed in the past few …

Cashless transaction is now becoming famous by the day, as there are various means of
making payment aside from carrying cash. This study proposed ensemble learners …