摘要
由于我国反洗钱工作起步较晚,对反洗钱活动的特点和规律,仍然处于探索之中,我国的反洗钱过程主要依赖传统手工方式进行。本文在对现有业务系统中大量的数据源进行分析和重新组织的基础上,首先论述了数据挖掘原理,给出了一个煤炭行业基于数据挖掘的反洗钱监测分析系统的设计方案,经过测试后,其有明显的应用效果。
Due to the late start of China's anti-money laundering anti-money laundering activities, the characteristics and laws are still in the exploration, China's anti-money laundering process is mainly dependent on the traditional manual way. Existing business systems in a large number of data sources to analyze and re-organization on the basis of first discusses data mining principles, given the design of a coal industry anti-money laundering monitoring and analysis system based on data mining, tested its obvious application.
出处
《煤炭技术》
CAS
北大核心
2012年第12期206-207,共2页
Coal Technology
基金
国家自然科学基金(61170171)
南通市自然科学基金(BK2011072)
南通大学自然科学研究项目(11Z068)
关键词
煤炭行业
反洗钱
数据挖掘
coal industry
anti-money laundering
data mining