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Published in:
2016 | OriginalPaper | Chapter
Credit Card Fraud Detection Using Convolutional Neural Networks
Authors : Kang Fu, Dawei Cheng, Yi Tu, Liqing Zhang
Published in: Neural Information Processing
Publisher: Springer International Publishing
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Abstract
Credit card is becoming more and more popular in financial transactions, at the same time frauds are also increasing. Conventional methods use rule-based expert systems to detect fraud behaviors, neglecting diverse situations, extreme imbalance of positive and negative samples. In this paper, we propose a CNN-based fraud detection framework, to capture the intrinsic patterns of fraud behaviors learned from labeled data. Abundant transaction data is represented by a feature matrix, on which a convolutional neural network is applied to identify a set of latent patterns for each sample. Experiments on real-world massive transactions of a major commercial bank demonstrate its superior performance compared with some state-of-the-art methods.