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Credit Card Fraud Detection and Analysis
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023Rohan Pawar +2 more
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Random forest for credit card fraud detection
2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), 2018Credit card fraud events take place frequently and then result in huge financial losses. Criminals can use some technologies such as Trojan or Phishing to steal the information of other people's credit cards. Therefore, an effictive fraud detection method is important since it can identify a fraud in time when a criminal uses a stolen card to consume ...
Shiyang Xuan +5 more
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Ensemble learning for credit card fraud detection
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018Timely detection of fraudulent credit card transactions is a business critical and challenging problem in Financial Industry. Specifically, we must deal with the highly skewed nature of the dataset, that is, the ratio of fraud to normal transactions is very small.
Ishan Sohony +2 more
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Credit Card Fraud Detection in E-Commerce
2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2019Often the challenge associated with tasks like fraud detection is the lack of all likely patterns needed to train suitable supervised learning models. This problem accentuates when the fraudulent patterns are not only scarce, they also change over time.
Utkarsh Porwal, Smruthi Mukund
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Hybrid approaches for detecting credit card fraud
Expert Systems, 2016AbstractAs a natural consequence of the multibillion dollar annual losses incurred as a result of credit card fraud, banks attach great importance to credit card fraud detection. In this paper, we proposed the use of six known models, namely, decision tree, random forest, Bayesian network, Naïve Bayes, support vector machine, and K* models, to form an ...
Yigit Kultur, Mehmet Ufuk Çaglayan
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The uncertain case of credit card fraud detection
Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, 2015Uncertainty is inherent in many real-time event-driven applications. Credit card fraud detection is a typical uncertain domain, where potential fraud incidents must be detected in real time and tagged before the transaction has been accepted or denied.
Ivo Correia +2 more
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2019
Worldwide billions of dollars per year goes into vain because of credit card fraud which is a major on growing problem. High tech advanced classification methods provide the ability to detect these fraudulent transactions without much disturbance to legal transactions.
Ruchika Janbandhu +2 more
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Worldwide billions of dollars per year goes into vain because of credit card fraud which is a major on growing problem. High tech advanced classification methods provide the ability to detect these fraudulent transactions without much disturbance to legal transactions.
Ruchika Janbandhu +2 more
openaire +1 more source
Journal of Experimental and Theoretical Artificial Intelligence, 2022
Amit Singh, Ranjeet Kumar Ranjan
exaly
Amit Singh, Ranjeet Kumar Ranjan
exaly
CATCHM: A novel network-based credit card fraud detection method using node representation learning
Decision Support Systems, 2023Rafaël Van Belle +2 more
exaly