Fraud detection system: A survey
The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …
enabled most financial transactions to be performed through the electronic commerce …
[HTML][HTML] Digitalisation and big data mining in banking
Banking as a data intensive subject has been progressing continuously under the promoting
influences of the era of big data. Exploring the advanced big data analytic tools like Data …
influences of the era of big data. Exploring the advanced big data analytic tools like Data …
Deep learning for anomaly detection: A survey
R Chalapathy, S Chawla - arXiv preprint arXiv:1901.03407, 2019 - arxiv.org
Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …
research areas and application domains. The aim of this survey is two-fold, firstly we present …
Credit card fraud detection using machine learning techniques: A comparative analysis
JO Awoyemi, AO Adetunmbi… - … and informatics (ICCNI), 2017 - ieeexplore.ieee.org
Financial fraud is an ever growing menace with far consequences in the financial industry.
Data mining had played an imperative role in the detection of credit card fraud in online …
Data mining had played an imperative role in the detection of credit card fraud in online …
[HTML][HTML] Enhanced credit card fraud detection model using machine learning
NS Alfaiz, SM Fati - Electronics, 2022 - mdpi.com
The COVID-19 pandemic has limited people's mobility to a certain extent, making it difficult
to purchase goods and services offline, which has led the creation of a culture of increased …
to purchase goods and services offline, which has led the creation of a culture of increased …
Semi-supervised credit card fraud detection via attribute-driven graph representation
Credit card fraud incurs a considerable cost for both cardholders and issuing banks.
Contemporary methods apply machine learning-based classifiers to detect fraudulent …
Contemporary methods apply machine learning-based classifiers to detect fraudulent …
How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark
The core goal of this paper is to identify guidance on how the research community can better
transition their research into payment card fraud detection towards a transformation away …
transition their research into payment card fraud detection towards a transformation away …
[HTML][HTML] Credit card fraud detection using a new hybrid machine learning architecture
The negative effect of financial crimes on financial institutions has grown dramatically over
the years. To detect crimes such as credit card fraud, several single and hybrid machine …
the years. To detect crimes such as credit card fraud, several single and hybrid machine …
A survey of machine-learning and nature-inspired based credit card fraud detection techniques
AO Adewumi, AA Akinyelu - International Journal of System Assurance …, 2017 - Springer
Credit card is one of the popular modes of payment for electronic transactions in many
developed and developing countries. Invention of credit cards has made online transactions …
developed and developing countries. Invention of credit cards has made online transactions …
Graph neural network for fraud detection via spatial-temporal attention
Card fraud is an important issue and incurs a considerable cost for both cardholders and
issuing banks. Contemporary methods apply machine learning-based approaches to detect …
issuing banks. Contemporary methods apply machine learning-based approaches to detect …