Results 41 to 50 of about 110,706 (190)
A Study to Determinants of Risk Management and Prevention in Credit Card Business in Commercial Banks [PDF]
Journal of Information Technology Management, 2021 The purpose of this study is to explore and determinants the risk management and prevention in credit card business of Malaysian commercial banks. There were five factors derived through the literature and experimental investigation that are affecting ...
GholamReza Zandi +4 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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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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IEEE AccessCurrently, 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
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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
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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
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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 +2 more
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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 +6 more
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Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]
, 2015 Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila +2 more
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Credit Card Fraud: A New Perspective On Tackling An Intransigent Problem [PDF]
, 2011 This article offers a new perspective on battling credit card fraud. It departs from a focus on post factum liability, which characterizes most legal scholarship and federal legislation on credit card fraud and applies corrective mechanisms only after ...
Mana, Jafar +2 more
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