金融欺诈交易仿真数据集

金融欺诈交易仿真数据集可用于风险侦测模型测试验证，面向信用卡团伙欺诈、赌博违规欺诈、黄牛欺诈、伪冒注册欺诈交易、商户违规以及异常转账欺诈6个场景，基于先验规则以及高斯分布生成特征，主要包含了交易金额、风险标签等相关特征。This simulated financial fraud transaction dataset is designed for testing and validating risk detection models, covering six scenarios: credit card gang fraud, illegal gambling fraud, scalper fraud, fraudulent transactions via impersonated registration, merchant violations, and abnormal transfer fraud. Features are generated based on prior rules and Gaussian distributions, and the dataset mainly contains relevant features such as transaction amount and risk labels.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于风险侦测模型测试验证的金融欺诈交易仿真数据，覆盖信用卡团伙欺诈、赌博违规欺诈等六个场景，基于先验规则和高斯分布生成交易金额、风险标签等特征。它属于国家重点研发计划项目'金融欺诈及支付受理市场违规侦测与处置技术研究与应用示范'的组成部分。