Results 191 to 200 of about 139,322 (228)

Credit Card Fraud Case

International Law Reports, 1991
562Jurisdiction — Territorial — Place of commission of offence — Fraudulent use of credit cards abroad having effect within Austria — Whether within jurisdiction of Austrian courtsJurisdiction — Personal — Crimes committed by nationals abroad — Fraudulent use of credit cards — Whether courts of defendant’s nationality have jurisdiction — The law of ...
openaire   +1 more source

Fraud Feature Boosting Mechanism and Spiral Oversampling Balancing Technique for Credit Card Fraud Detection

IEEE Transactions on Computational Social Systems
With the flourishing of the credit card business and Internet technology, the risk of fraudulent credit card transactions is ever-increasing due to the complex information involved in the credit card business.
Lina Ni, Jufeng Li, Huixin Xu, Xiangbo Wang, Jinquan Zhang   +4 more
semanticscholar   +1 more source

NUS: Noisy-Sample-Removed Undersampling Scheme for Imbalanced Classification and Application to Credit Card Fraud Detection

IEEE Transactions on Computational Social Systems
Since minority samples are substantially less common than majority samples, many industrial applications, such as credit card fraud detection (CCFD) and defective part identification, call for imbalanced classification.
Honghao Zhu, Mengchu Zhou, Guanjun Liu, Yu Xie, Shijun Liu, Cheng Guo   +5 more
semanticscholar   +1 more source

Credit Card Fraud Detection

2019
Worldwide billions of dollars per year goes into vain because of credit card fraud which is a major on growing problem. High tech advanced classification methods provide the ability to detect these fraudulent transactions without much disturbance to legal transactions.
Ruchika Janbandhu, Shameedha Begum, N. Ramasubramanian   +2 more
openaire   +1 more source

A Spatial–Temporal Gated Network for Credit Card Fraud Detection by Learning Transactional Representations

IEEE Transactions on Automation Science and Engineering
Credit card fraud detection (CCFD) is an important issue concerned by financial institutions. Existing methods generally employ aggregated or raw features as their representations to train their detection models.
Yu Xie, Guanjun Liu, Mengchu Zhou, Lifei Wei, Honghao Zhu, Rigui Zhou, Lei Cao   +6 more
semanticscholar   +1 more source

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks

arXiv.org
Credit card fraud poses a significant threat to the economy. While Graph Neural Network (GNN)-based fraud detection methods perform well, they often overlook the causal effect of a node's local structure on predictions.
Yifan Duan, Guibin Zhang, Shilong Wang, Xiaojiang Peng, Ziqi Wang, Junyuan Mao, Hao Wu, Xinke Jiang, Kun Wang   +8 more
semanticscholar   +1 more source

An examination of machine learning-based credit card fraud detection systems

International Journal of Science and Research Archive
As a result of the e-commerce industry's explosive growth, credit cards are now frequently used for online purchases. In recent years, banks have faced a significant issue with credit card fraud (CCF) due to the difficulty in detecting fraudulent ...
Himanshu Sinha
semanticscholar   +1 more source

Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning

ACM Transactions on Intelligent Systems and Technology
The significant increase in credit card transactions can be attributed to the rapid growth of online shopping and digital payments, particularly during the COVID-19 pandemic. To safeguard cardholders, e-commerce companies, and financial institutions, the
Chiao-Ting Chen, Chi Lee, Szu-Hao Huang, Wen-Chih Peng   +3 more
semanticscholar   +1 more source

Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection

IEEE Access
Credit card fraud (CCF) is a significant threat to cardholders and financial institutions. CCF detection against this threat is challenging due to extremely imbalanced data (EID).
Xiaosong Zhao, Yong Liu, Qiangfu Zhao
semanticscholar   +1 more source

Machine Learning Methods for Credit Card Fraud Detection: A Survey

IEEE Access
The widespread adoption of online payments has been accompanied by a significant increase in fraudulent activities, resulting in billions of dollars in financial losses.
K. G. Dastidar, O. Caelen, M. Granitzer
semanticscholar   +1 more source