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随着我国信用卡发卡量和交易量的不断增长,信用卡交易中的欺诈交易也呈现出上升趋势。如何较早的识别欺诈交易,将成为金融业普遍关注的一个重要问题。本文提出了一种基于AdaBoost组合分类器的信用卡欺诈识别模型,并通过实证研究证明模型能较为准确的识别欺诈交易。
As China’s credit card issuance and trading volume continues to grow, credit card transactions in fraudulent transactions also showed an upward trend. How to recognize fraudulent transactions earlier will become an important issue that the financial industry generally pays close attention to. This paper presents a credit card fraud recognition model based on AdaBoost combinatorial classifier, and proves through empirical research that the model can more accurately identify fraud transactions.