摘要
本文根据数据挖掘技术中的多层关联规则方法,提出了建立银行交易中的行业间关联规则的基本思想。给出基于多层行业分类表、银行企业客户信息和大额历史交易数据的行业间关联规则的建立过程。本文目的是为了通过建立行业间关联规则发现那些原本关联度很小的可疑银行交易,为银行反洗钱技术提供参考。
Citing the multi-tier association rules in data mining technology, the article proposes a basic idea about establishing industry association rules in banking transactions. Such establishment is supposed to be based on multi-tier industry classification, information of banks＇ corporate customers, and large amount of historical transaction data. This paper is dedicated to digging out suspicious banking transactions in which the participants have only little correlation, and to providing reference for anti-money laundering technology.
出处
《上海金融》
CSSCI
北大核心
2008年第1期18-21,共4页
Shanghai Finance
基金
国家自然科学基金项目<基于数据挖掘的可疑金融交易识别研究>
项目编号7077108
关键词
反洗钱
可疑金融交易
数据挖掘
关联规则
Anti-Money Laundering
Suspicious Financial Transaction
Data Mining
Association Rules
