• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2006, Vol. 28 ›› Issue (11): 54-55.

• 论文 • 上一篇    下一篇

一种基于超图模型的客户行为分析方法

卢正鼎 郭洁 刘芳   

  • 出版日期:2006-11-01 发布日期:2010-05-20

  • Online:2006-11-01 Published:2010-05-20

摘要:

外汇交易中,一些企业由于企业本身特点或从事业务的相近有着相似的交易行为。根据这些天然特征发现具备相似行为的交易并对其分组,有利于发现海量交易数据中的典型 交易行为模式,这有助于外汇管理和监督职能的更好实施。本文根据外汇交易行为的特点,用一种基于超图模型的聚类算法来发现不同类型的交易对象。

关键词: 超图模型 超图分割 聚类

Abstract:

In foreign exchange dealing, some enterprises may have similar behaviors because of their own features or business similarity. It is beneficial for th e management and supervision of foreign exchange to discover and cluster these business objects which have similar behaviors through those natural featu res. According to the features of foreign exchange dealing, this paper proposes a clustering method based on the hypergraph model to discover these business objects of similar behaviors.

Key words: (hypergraph model, hypergraph partitioning, clustering)