Results 161 to 170 of about 131,240 (196)
Some of the next articles are maybe not open access.
2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS), 2023
Wong Shi Jie +3 more
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Wong Shi Jie +3 more
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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 ...
openaire +1 more source
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
openaire +1 more source
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
Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019
Computer Science Review, 2021exaly

