摘要
数据总量的快速增长并不意味着大数据,对数据价值的挖掘和专业处理才是对大数据的具体要求。金融机构是我国主要的反洗钱义务主体,金融行业也是产生大数据的典型领域,对于防范和控制洗钱活动,提升反洗钱工作的有效性需要建立反洗钱系统和政策支持。文章分析了在大数据技术的影响下反洗钱调查工作面临的机遇和具体的应用措施。
The rapid growth in the amount of data that does not mean big data, the value of data mining and professional treatment is the specific requirements of large data. Financial institutions are the main subject of anti-money laundering obligations, the financial industry is a typical field generated big data, for the prevention and control of money-laundering activities to enhance the effectiveness of anti-money laundering needs to establish anti-money laundering systems and policy support. This paper analyzed the opportunities and challenges in specific applications under the influence of big data technology, anti-money laundering investigations faced.
出处
《现代工业经济和信息化》
2015年第13期76-77,共2页
Modern Industrial Economy and Informationization
关键词
反洗钱
大数据技术
应用
money laundering
Big Data technologies
application
