An Efficient Way to Detect Credit Card Fraud Using Machine Learning Methodologies

T. Choudhury, Gaurav Dangi, T. Singh, Abhinav Chauhan, Archit Aggarwal
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引用次数: 6

Abstract

Attempted use of combinations of machine learning techniques to detect credit card fraud is presented in this paper. Credit card fraud is increasing day by day every year on a large scale, which results in great loss to organizations, this paper proposes a model to predict whether the credit card presented is fraudulent or not determined by more than 150 attributes per visitor, which have been trained before hand with a dataset. As the data used for the purposes of this paper was highly imbalanced, different sampling techniques have been used to balance the training data. The experiment shows good performance along with accuracy in fraud detection.
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使用机器学习方法检测信用卡欺诈的有效方法
本文介绍了尝试使用机器学习技术的组合来检测信用卡欺诈。信用卡欺诈每年都在大规模地增加,给组织带来了巨大的损失,本文提出了一个模型来预测所呈现的信用卡是否欺诈,该模型由每个访问者超过150个属性来确定,该模型事先使用数据集进行训练。由于本文使用的数据高度不平衡,因此使用了不同的采样技术来平衡训练数据。实验表明,该方法在欺诈检测中具有良好的性能和准确性。
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