摘要
针对金融机构"防卫性报送"产生的过量反洗钱报告问题,提出了跨组织多层次监测的解决思路.而后,运用计算机仿真,验证了聚类分析在账户层监测中的应用效果,证实了反洗钱跨组织多层次监测在聚焦异常账户、降低反洗钱报告错漏报概率上的有效性.跨组织多层次监测适用于分业经营的跨组织反洗钱监管模式,对于国内外反洗钱报告信息的提取与应用均具有一定的借鉴意义.
The paper presents anti-money laundering(AML) cross-organizational multi-level monitoring, a new solution to over-reporting due to financial institutions"defensive submitted".Then it verifies the validity of using AML cross-organizational multi-level monitoring on the abnormal accounts focus,for it has lower Two Types of Errors,especially applying clustering analyzing to account layer monitoring.This is an effective method for separate operation and cross-organizational supervision.At the same time,it is meaningful for the extraction and application of AML reports in China and abroad.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2011年第1期1-7,共7页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(70533030)
山西省科技厅项目(051032-2)
关键词
反洗钱
流程创新
聚类分析
计算机仿真
anti-money laundering
process innovation
clustering analyzing
computer simulation