Results 41 to 50 of about 139,322 (228)

Investigating the effectiveness of one-class and binary classification for fraud detection

Journal of Big Data, 2023
Research into machine learning methods for fraud detection is of paramount importance, largely due to the substantial financial implications associated with fraudulent activities. Our investigation is centered around the Credit Card Fraud Dataset and the
Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh   +3 more
doaj   +1 more source

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation [PDF]

AAAI Conference on Artificial Intelligence, 2023
Credit card fraud incurs a considerable cost for both cardholders and issuing banks. Contemporary methods apply machine learning-based classifiers to detect fraudulent behavior from labeled transaction records.
Sheng Xiang, Min Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng   +7 more
semanticscholar   +1 more source

Credit Card Fraud Detection Using Logistic Regression and Synthetic Minority Oversampling Technique (SMOTE) Approach [PDF]

, 2023
Financial fraud is a serious threat that is expanding effects on the financial sector. The use of credit cards is growing as digitization and internet transactions advance daily. The most common issues in today\u27s culture are credit card scams.
Dalai, Sasanka Sekhar, Femi Godslove, Julius, Kpereobong Friday, Ibanga, Nayak, Subrat Kumar, Tripathy, Nrusingha   +4 more
core   +1 more source

A Credit Card Fraud Detection Method Based on Mahalanobis Distance Hybrid Sampling and Random Forest Algorithm

IEEE Access
Currently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest threat.
Zhichao Xie, Xuan Huang
doaj   +1 more source

A Hybrid Simulated Annealing and Back-propagation Algorithm for Feed-forward Neural Network to Detect Credit Card Fraud

UHD Journal of Science and Technology, 2017
Due to the ascent and fast development of E-commerce, utilization of credit cards for online buys has significantly expanded, and it brought about a blast in the credit card fraud.
Ardalan Husin Awlla
doaj   +1 more source

Credit Card Fraud Detection System

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: In today’s world everything is online which also increases the chances of fraud. There are approximately 36.4 percent fraud related to commercial cards which include credit card, debit card, etc. In 2022 there are 64 million people who uses credit card to initiate the transaction, therefore they are also prone to the card fraud.
Aakash ., Akash Kuma, Ravi Pratap Singh
openaire   +2 more sources

Performance Evaluation of Machine Learning Methods for Credit Card Fraud Detection Using SMOTE and AdaBoost

IEEE Access, 2021
The advance in technologies such as e-commerce and financial technology (FinTech) applications have sparked an increase in the number of online card transactions that occur on a daily basis.
Emmanuel Ileberi, Yanxia Sun, Zenghui Wang   +2 more
doaj   +1 more source

Multiple perspectives HMM-based feature engineering for credit card fraud detection

, 2019
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated events and not as a sequence of transactions.
Caelen, Olivier, Calabretto, Sylvie, Granitzer, Michael, He-Guelton, Liyun, Laporte, Léa, Lucas, Yvan, Portier, Pierre-Edouard   +6 more
core   +1 more source

Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention

IEEE Access
Under the umbrella of artificial intelligence (AI), deep learning enables systems to cluster data and provide incredibly accurate results. This study explores deep learning for fraud detection, utilizing Graph Neural Networks (GNNs) and Autoencoders to ...
Fawaz Khaled Alarfaj, Shabnam Shahzadi
semanticscholar   +1 more source

ONLINE CREDIT CARD FRAUD: AN EMERGING CRIME IN THE INFORMATION TECHNOLOGY [PDF]

, 2015
While the online retailing environment has provided businesses with an unparalleled opportunity to expand and improve their profits, it has also increased the vulnerability of businesses to online credit card fraud. This paper discusses the vulnerability
Carolina, Anita
core   +2 more sources