Results 21 to 30 of about 34,999 (183)
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
IEEE Access, 2022 People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced.
Fawaz Khaled Alarfaj +5 more
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International Journal of Scientific Research in Science and Technology, 2023 The emergence of credit card fraud as a major concern has coincided with the unparalleled ease brought about by the spread of electronic transactions and online commercein the quickly changing financial technology landscape [1]. Strengthening security measures is becoming more and more important as financial transactions move to digitalplatforms.
Gyawali, Sanjaya +4 more
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Credit card fraud detection through machine learning algorithm [PDF]
Big Data and Computing Visions, 2021 Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies.
Agyan Panda +2 more
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Applied Computational Intelligence and Soft Computing, 2022 The usage of credit cards is increasing daily for online transactions to buy and sell goods, and this has also increased the frequency of online credit card fraud.
Ajeet Singh +2 more
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Bayesian Quickest Detection of Credit Card Fraud [PDF]
Bayesian Analysis, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Buonaguidi, Bruno +3 more
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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 +3 more
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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 +4 more
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Credit Card Fraud Detection Using Machine Learning Techniques [PDF]
, 2022 This is a systematic literature review to reflect the previous studies that dealt with credit card fraud detection and highlight the different machine learning techniques to deal with this problem. Credit cards are now widely utilized daily.
Elhusseny, Nermin Samy +2 more
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Explainable Credit Card Fraud Detection with Image Conversion
Advances in Distributed Computing and Artificial Intelligence Journal, 2021 The increase in the volume and velocity of credit card transactions causes class imbalance and concept deviation problems in data sets where credit card fraud is detected. These problems make it very difficult for traditional approaches to produce robust
duygu sinanc +2 more
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International Journal for Modern Trends in Science and Technology, 2021 This research paper proposes a solution that should be deployed to identify whether the transaction is fraud or not. Although we know that most of the transaction takes place online meaning that this transaction can be theft on the go and will create problem to user therefore this paper focus on some particular machine learning algorithm for example ...
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