Credit Card Fraud Detection through Parenclitic Network Analysis

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Credit card fraud detection through parenclitic network analysis

Massimiliano Zanin, Miguel Romance, Santiago Moral and Regino Criado 1 Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal 2 Department of Applied Mathematics, Universidad Rey Juan Carlos, 28933 Móstoles, Madrid, Spain 3 Center for Biomedical Technology, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Madrid, Spain and 4 ...

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Credit Card Fraud Detection with a Neural-Network

Using data from a credit card issuer, a neural network based fraud detection system was trained on a large sample of labelled credit card account transactions and tested on a holdout data set that consisted of all account activity over a subsequent two-month period of time. The neural network was trained on examples of fraud due to lost cards, stolen cards, application fraud, counterfeit fraud,...

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Credit Card Fraud Detection using Data mining and Statistical Methods

Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually. In this research, we propose a combined method using both data mining and statistical tasks, utilizing feature selection, resampling and cost-...

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ژورنال

عنوان ژورنال: Complexity

سال: 2018

ISSN: 1076-2787,1099-0526

DOI: 10.1155/2018/5764370