一种疑似个人非法交易数据集

本数据集通过分析行内个人客户的交易频次和交易规模，识别出活期账户中交易频次与规模异常的清单。筛选标准包括以下高风险特征：每月累积转出金额超过50万元、转账次数超过50次，且账户“贷入借出”差额占累积交易额的比例小于0.0003（剔除活期利率产生的利息影响）。数据集中涵盖了交易流水信息中的关键字段，如交易发生地、交易金额、交易对手信息等。该数据集为监控疑似频繁交易行为提供了结构化的信息支持，能够有效辅助金融机构进行高风险账户识别和交易行为分析。

This dataset identifies current accounts with abnormal transaction frequency and scale by analyzing the transaction frequency and amount of individual in-house bank customers. The screening criteria include the following high-risk characteristics: the cumulative monthly transfer-out amount exceeds 500,000 yuan, the number of transfer transactions exceeds 50 times, and the ratio of the difference between "total credits" and "total debits" of the account to the cumulative transaction amount is less than 0.0003, with the impact of interest from current deposit rates excluded. The dataset covers key fields in transaction flow records, such as transaction location, transaction amount, counterparty information, and other related items. This dataset provides structured information support for monitoring suspected frequent transaction behaviors, and can effectively assist financial institutions in identifying high-risk accounts and analyzing transaction behaviors.

搜集汇总

数据集介绍

特点

该数据集用于识别个人非法交易行为，支持金融机构风险预警和合规审查，数据格式为Excel，包含关键交易信息。