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DMP: Fraud Detection in Online Transactions DescriptionFraud Detection using Machine Learning Models Context and Methodology Research Domain/Project:This dataset supports a machine learning project focused on detecting fraudulent activities in online financial transactions.
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SSRN Electronic Journal, 2020
Corporate fraud is most commonly performed by taking the advantage of the sensitive & confidential information and also the valuable assets, using them to maximise the gains. There are many methods that help predict fraud before they occur. These activities are often hidden behind legitimate business transactions and exchanges to hide it from the ...
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Corporate fraud is most commonly performed by taking the advantage of the sensitive & confidential information and also the valuable assets, using them to maximise the gains. There are many methods that help predict fraud before they occur. These activities are often hidden behind legitimate business transactions and exchanges to hide it from the ...
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International Journal of Innovative Science and Research Technology
The rapid adoption of digital payments, particularly through the Unified Payments Interface (UPI), has led to a corresponding increase in the risk of fraud. To address this growing concern, this project introduces an intelligent, real-time fraud detection system designed specifically for UPI networks. Thissystem integrates rule-based logic, behavioural
Hemant Sharma, Kunal Sharma, Rahul Kumar
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The rapid adoption of digital payments, particularly through the Unified Payments Interface (UPI), has led to a corresponding increase in the risk of fraud. To address this growing concern, this project introduces an intelligent, real-time fraud detection system designed specifically for UPI networks. Thissystem integrates rule-based logic, behavioural
Hemant Sharma, Kunal Sharma, Rahul Kumar
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A systematic review of AI-enhanced techniques in credit card fraud detection
Journal of Big DataIbrahim Y. Hafez +4 more
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Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances
Expert Systems With Applications, 2022Waleed Hilal
exaly
Fraud Detection: Using Data Analysis Techniques to Detect Fraud
EDPACS, 2000openaire +1 more source
Humanities and Social Sciences Communications
Ludivia Hernández Aros +4 more
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Ludivia Hernández Aros +4 more
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