Results 31 to 40 of about 34,999 (183)
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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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 Detection Using Perceptron Training Algorithm and Prevention Using One Time Password. [PDF]
, 2015 In today’s world with evolving technologies and a new mode of shopping through online website, use of credit card has increased day by day. Since the credit card is more prone to fraud than debit card prevention of fraud is an important aspect.
, Prof. Gajanan Bherde, Ashwin Telang, Mehul Bhuva, Harsh Gajra, Ajit Patel
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The modus operandi of perpetrators for credit card fraud in the Vaal Region, South Africa
Cogent Social Sciences, 2021 Card payments in South Africa continue to be a predominant part of the National Payments System in an evolving payments ecosystem. Due to the growing volume of electronic payments, the monetary strain of credit card fraud is turning into a substantial ...
Witness Maluleke +3 more
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An Adversary Model of Fraudsters’ Behavior to Improve Oversampling in Credit Card Fraud Detection
IEEE Access, 2023 Imbalanced learning jeopardizes the accuracy of traditional classification models, particularly for what concerns the minority class, which is often the class of interest.
Daniele Lunghi +3 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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Outlier Mining Methods Based on Graph Structure Analysis [PDF]
, 2019 Outlier detection in high-dimensional datasets is a fundamental and challenging problem across disciplines that has also practical implications, as removing outliers from the training set improves the performance of machine learning algorithms.
Almeira, Nahuel +2 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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An intelligent approach to detect and predict online fraud transaction using XGBoost algorithm [PDF]
The most popular payment method in recent years is the credit card. Due to the E-commerce industry’s explosive growth, the usage of credit cards for online purchases have been greatly increased as a result frauds has increased.
Bala, Bala Santhosh +2 more
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IMPROVING CREDIT CARD FRAUD DETECTION USING TRANSFER LEARNING AND DATA RESAMPLING TECHNIQUES [PDF]
, 2023 This Culminating Experience Project explores the use of machine learning algorithms to detect credit card fraud. The research questions are: Q1. What cross-domain techniques developed in other domains can be effectively adapted and applied to mitigate or
Vinarta, Charmaine Eunice Mena
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