欧洲信用卡欺诈数据集

数据集面向金融风险防控与社会治理场景的信用卡欺诈检测数据集，基于欧洲真实信用卡交易业务采集形成。原始交易数据经严格匿名化与主成分分析（PCA）处理，保留交易行为特征并去除用户与商户敏感信息，用于支持欺诈识别、不平衡学习、异常检测及金融风控模型研究。

This is a credit card fraud detection dataset for financial risk prevention and control and social governance scenarios, collected from real credit card transaction business in Europe. The original transaction data has undergone strict anonymization and Principal Component Analysis (PCA) processing, retaining transaction behavior features while removing sensitive information of users and merchants, and is used to support research on fraud identification, imbalanced learning, anomaly detection and financial risk control models.

搜集汇总

背景与挑战

背景概述

该数据集是面向金融风险防控与社会治理的信用卡欺诈检测数据集，基于欧洲真实信用卡交易业务采集。原始数据经过匿名化和主成分分析处理，保留了交易行为特征并去除了敏感信息，适用于欺诈识别、不平衡学习、异常检测及金融风控模型研究。