基于数据挖掘技术的人民币反洗钱系统设计  

An Anti-Laundering Data Mining System for China

作　　者：杨胜刚[1] 王鹏[1] 

机构地区：[1]湖南大学金融学院,湖南长沙410079

出　　处：《财经理论与实践》2005年第6期105-109,共5页The Theory and Practice of Finance and Economics

基　　金：国家社会科学基金项目(04BJL051)

摘　　要：国际反洗钱实践表明,数据挖掘技术在大额和可疑支付交易数据分析中具有广阔的应用前景。探讨数据挖掘技术在大额和可疑交易报告制度中应用的必要性与可行性,全面把握数据挖掘技术的各种主要算法及其在大额和可疑交易数据分析中的应用前景,针对目前我国反洗钱工作的实际,设计一套人民币大额和可疑支付交易数据挖掘系统(CRMB-LSADMS)。International experiences in struggling with money laundering activities show that the data mining technologies play a basic and important role in large- amount and suspicious transaction reporting. Data mining technologies and their applications in reporting large - amount and suspicious transaction are reviewed. The feasibility and foreground of the application of the technologies are also discussed for Chinese anti - laundering. Based on the analysis, China RMB Large - amount and Suspicious Transaction Data Mining System （CRMB- LSADMS） is designed to meet the needs of Chinese anti - laundering practice.

关 键 词：反洗钱 大额和可疑交易报告制度 数据挖掘技术 

分 类 号：F830.1[经济管理—金融学]