Results 41 to 50 of about 1,287,610 (291)
IEEE Access, 2023 The recent increase in credit card fraud is rapidly has caused huge monetary losses for individuals and financial institutions. Most credit card frauds are conducted online by illegally obtaining payment credentials through data breaches, phishing, or ...
Fuad A. Ghaleb +4 more
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Credit Card Fraud Detection Using AdaBoost and Majority Voting
IEEE Access, 2018 Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to credit card fraud every year. There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues.
Kuldeep Randhawa +4 more
doaj +1 more source
Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network
IEEE Access, 2023 The rapid spread of mobile banking and e-commerce has coincided with a dramatic increase in fraudulent online payments in recent years. Although machine learning and deep learning are widely used in credit card fraud detection, the typical credit card ...
Yuanming Ding +4 more
semanticscholar +1 more source
JISKA (Jurnal Informatika Sunan Kalijaga), 2021 Credit card is one of the payment media owned by banks in conducting transactions. Credit card issuers provide benefits for banks with interest that must be paid.
Fatimah Defina Setiti Alhamdani +2 more
doaj +1 more source
Synthesizing credit card transactions
Proceedings of the Second ACM International Conference on AI in Finance, 2021 Two elements have been essential to AI's recent boom: (1) deep neural nets and the theory and practice behind them; and (2) cloud computing with its abundant labeled data and large computing resources. Abundant labeled data is available for key domains such as images, speech, natural language processing, and recommendation engines.
openaire +2 more sources
Buy Now, Pay Later (BNPL)...On Your Credit Card [PDF]
Social Science Research Network, 2022 We provide the first economic research on `buy now, pay later' (BNPL): an unregulated FinTech credit product enabling consumers to defer payments into interest-free instalments. We study BNPL using UK credit card transaction data.
Benedict Guttman-Kenney +2 more
semanticscholar +1 more source
A Novel Framework for Credit Card Fraud Detection
IEEE Access, 2023 Credit card transactions have grown considerably in the last few years. However, this increase has led to significant financial losses around the world. More than that, processing the enormous amount of generated data becomes very challenging, making the
A. Mniai, Mouna Tarik, Khalid Jebari
semanticscholar +1 more source
AutoEncoder and LightGBM for Credit Card Fraud Detection Problems
Symmetry, 2023 This paper proposes a method called autoencoder with probabilistic LightGBM (AED-LGB) for detecting credit card frauds. This deep learning-based AED-LGB algorithm first extracts low-dimensional feature data from high-dimensional bank credit card feature ...
Haichao Du +3 more
semanticscholar +1 more source
RESEARCH OF IMPACTING OF CREDIT CARD USAGE AT DISTRICT LEVEL IN TURKEY
Ekonomi Maliye İşletme Dergisi, 2023 This study examines district-level factors affecting Turkish credit card usage. Demographic, education, health, tourism, economy, urbanization, culture, and sports parameters are used to create two spatial econometric models. Geographical data visualizes
Arif Saldanlı, Sumeyra Uzun
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Mathematical Problems in Engineering, 2023 Credit card fraud is a common occurrence in today’s society because the majority of us use credit cards as a form of payment more frequently. This is the outcome of developments in technology and an increase in online transactions, which have given rise ...
Tesfahun Berhane +3 more
semanticscholar +1 more source