• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (6): 77-80.

• 论文 • 上一篇    下一篇

利用链接发现技术侦测可疑账号交易信息

刘芳 伏峰   

  • 出版日期:2007-06-01 发布日期:2010-06-03

  • Online:2007-06-01 Published:2010-06-03

摘要:

金融犯罪一般和账户的资金流动有着紧密的关系,特别是在洗钱活动中表现得尤为突出。目前,大多数的异常侦测系统采用的是传统知识发现方法,首先对数据集进行调查,形成  感兴趣的假设,然后再设计分析方法来解决这些问题。但是,这往往有个弊端,对于一个新的应用领域,我们便很难得到那些我们未知或不熟悉的新型知识模式。为了弥补这一不不足,本文利用基于约束非指导性链接发现技术,通过对目标节点进行约束性判断,再计算“兴趣度”和路径“作用值”来对外汇资金交易数据库进行自动分析,挖掘出用户感兴趣的交易信息,并最终为侦测外汇金融犯罪提供有利线索和决策依据。

关键词: 链接发现 基于约束非指导性链接发现 兴趣度 作用值 洗钱

Abstract:

Generally, there are consanguineous relationships between financial crimes and the flow oi iunds, especially m money-laundering. Instead of taking a m  ore traditional approach such as starting with an inspection of the data, formulating questions or hypotheses interesting to us and then devising an ana lysis approach to answer them, We try a new different route: we make use of constraint-based unsupervised link discovery to find the user-interested in nformation, because traditional approaches have difficulty in detecting unknown or unfamiliar knowledge patterns. This method can be described as follow  s: we judge if the target node accords with the constraints, and then analyze foreign exchange flows by computing the "interestingness" and "contrib bution" of paths. Finally, we can acquire interesting information, supply clues and make decisions in detecting foreign financial crimes.

Key words: (link discovery, constraint-based unsupervised link discovery, interestingness, contribution, money-laundering)