| 基于逻辑回归的企业大额可疑外汇资金交易识别模型 |
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| 引用本文： | 孙景,李志伟,刘炜. 基于逻辑回归的企业大额可疑外汇资金交易识别模型[J]. 上海金融, 2008, 0(6): 58-61 |
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| 作者姓名： | 孙景 李志伟 刘炜 |
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| 作者单位： | 1. 西安交通大学经济与金融学院,陕西西安,710061
2. 广东发展银行科技部,广东广州,510080 |
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| 摘 要： | 本文根据逻辑回归原理与数据挖掘技术，建立了企业大额可疑外汇资金交易识别模型，用于分析银行企业客户洗钱的概率及洗钱事件发生的可能性。本文的目的是通过对具有洗钱嫌疑的银行企业客户进行识别和预测，为银行反洗钱技术提供参考。
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| 关 键 词： | 反洗钱 可疑金融交易 数据挖掘 逻辑回归 |
| 文章编号： | 1006-1428(2008)06-0058-04 |
| 修稿时间： | 2008-04-28 |
Identifying Model of Large Amount of Enterprises' Suspicious Transactions of Foreign Exchange Based on Logistic Regression |
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| Sun Jing/ Li Zhiwei/ Liu Wei. Identifying Model of Large Amount of Enterprises' Suspicious Transactions of Foreign Exchange Based on Logistic Regression[J]. Shanghai Finance, 2008, 0(6): 58-61 |
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| Authors: | Sun Jing/ Li Zhiwei/ Liu Wei |
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| Affiliation: | Sun Jing/ Li Zhiwei/ Liu Wei |
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| Abstract: | Using logistic regression theory and data mining technology,the paper builds an identifying model of large amount of enterprises' suspicious transactions of foreign exchange to analyze the probability of money laundering in banks' enterprise clients.The purpose of the paper is to help banks with anti-money laundering technology by identifying and forecasting banks' suspicious enterprise clients. |
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| Keywords: | Anti-Money Laundering Suspicious Financial Transaction Data Mining Logistic Regression |
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