Fraud Detection Technique in Credit Card Transactions using Convolutional Neural Network
نویسندگان
چکیده
Cashless transactions such as online transactions, credit card transactions, and mobile wallet are becoming more and more popular in financial transactions nowadays. With increased number of such cashless transaction, fraudulent transactions are also increasing. Fraud can be detected by analyzing spending behavior of customers (users) from previous transaction data. If any deviation is noticed in spending behavior from available patterns, there may be chance of fraudulent transaction. To detect fraud behavior, bank and credit card companies are using various methods of data mining such as decision tree, rule based mining, neural network, fuzzy clustering approach, hidden markov model or hybrid approach of these methods. In this paper we have used Convolutional neural network with SMOTE. We have transformed original features into new features. Keywords— credit card fraud, online fraud, convolution, neural network
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