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首页> 外文会议>International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering >A Deep Neural Network Algorithm for Detecting Credit Card Fraud
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A Deep Neural Network Algorithm for Detecting Credit Card Fraud

机译：一种深度神经网络的信用卡欺诈检测算法

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摘要

The credit card is easy to use for online transaction or shopping. However, the credit card fraud happens every day all over the world and it is hard for manual detection. Many organizations including banks, information companies and even government cost billions of dollars to invent an automatic fraud detection system. In this paper, we propose a deep network for fraud detection algorithm. The log transform is used to handle the data skew problems which exists in the dataset. The focal loss is added to the network for training the hard examples. The experiments show our neural network model outperforms the other classical models like support vector machine and logistic regression.
机译：信用卡很容易用于在线交易或购物。但是，信用卡欺诈在世界各地每天都在发生，很难手动检测到。许多组织，包括银行，信息公司，甚至政府，都花费了数十亿美元来发明一种自动欺诈检测系统。在本文中，我们提出了一种用于欺诈检测算法的深度网络。对数变换用于处理数据集中存在的数据偏斜问题。焦点损失被添加到网络中以训练困难的例子。实验表明，我们的神经网络模型优于其他经典模型，如支持向量机和逻辑回归。

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