基于离群检测模型的反洗钱系统设计

The anti-money laundering system based on outlier detection model

洗钱犯罪已经是国际社会共同面临的一个难题,给各国的经济带来了严重的损害和影响。在中国,不仅需要完善法律法规来建立反洗钱机制,更应该通过技术手段来识别洗钱活动。这是一个基于离群行为检测模型的反洗钱系统的设计与实现,通过使用真实传销案件的交易流水数据来验证离群检测模型可疑识别的有效性以及实用性。

The international community is faced a common problem about money laundering crime,which has brought serious damage and impact to the economy of each country. In China,not only need to improve laws and regulations to establish anti-money laundering mechanism,but also through technical means to identify money laundering activities. This is a design and implementation of an anti-money laundering system based on the outlier detection model,which verifies the validity and practicability of the suspicious identification of the outlier detection model by using transaction flow data of real MLM cases.