Results 21 to 30 of about 1,287,610 (291)
The effect of feature extraction and data sampling on credit card fraud detection
Journal of Big Data, 2023 Training a machine learning algorithm on a class-imbalanced dataset can be a difficult task, a process that could prove even more challenging under conditions of high dimensionality.
Zahra Salekshahrezaee +2 more
semanticscholar +1 more source
CUS-RF-Based Credit Card Fraud Detection with Imbalanced Data
Journal of Risk Analysis and Crisis Response (JRACR), 2022 With the continuous expansion of the banks' credit card businesses, credit card fraud has become a serious threat to banking financial institutions. So, the automatic and real-time credit card fraud detection is the meaningful research work.
Wei Li, Cheng-shu Wu, Su-mei Ruan
doaj +1 more source
Machine Learning and Knowledge Extraction, 2023 Data augmentation is an important procedure in deep learning. GAN-based data augmentation can be utilized in many domains. For instance, in the credit card fraud domain, the imbalanced dataset problem is a major one as the number of credit card fraud ...
Emilija Strelcenia, S. Prakoonwit
semanticscholar +1 more source
Jurnal Manajemen, 2018 This study was motivated by the presence of different views on whether or notallowed to use Islamic credit cards, although the Indonesian Council of Ulama (MUI) has issued a fatwa on the permissibility of the card.
Sholikul Hadi +2 more
doaj +1 more source
Credit Card Fraud Detection Using Enhanced Random Forest Classifier for Imbalanced Data [PDF]
ACR, 2023 The credit card has become the most popular payment method for both online and offline transactions. The necessity to create a fraud detection algorithm to precisely identify and stop fraudulent activity arises as a result of both the development of ...
AlsharifHasan Mohamad Aburbeian +1 more
semanticscholar +1 more source
A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection
IEEE Access, 2022 Recent advancements in electronic commerce and communication systems have significantly increased the use of credit cards for both online and regular transactions.
Ebenezer Esenogho +4 more
semanticscholar +1 more source
Credit Card Debt Puzzles [PDF]
SSRN Electronic Journal, 2007 Most US credit card holders revolve high-interest debt, often combined with substantial (i) asset accumulation by retirement, and (ii) low-rate liquid assets. Hyperbolic discounting can resolve only the former puzzle (Laibson et al., 2003). Bertaut and Haliassos (2002) proposed an 'accountant-shopper'framework for the latter.
Haliassos, Michael, Reiter, Michael
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Indatu Journal of Management and Accounting, 2023 The rise of digital transactions and electronic payment systems in modern financial management has brought convenience but also the challenge of credit card fraud.
T. R. Noviandy +5 more
semanticscholar +1 more source
Enhanced Credit Card Fraud Detection Model Using Machine Learning
Electronics, 2022 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 dependence on online services.
Noor Saleh Alfaiz, S. Fati
semanticscholar +1 more source
Credit Cards and Inflation [PDF]
SSRN Electronic Journal, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Geanakoplos, Pradeep Dubey
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