计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (19): 171-173.

• 数据库与信息处理 • 上一篇    下一篇

基于半结构化数据的关联规则挖掘模式

刘先锋,曾 舸   

  1. 湖南师范大学 数学与计算机学院,长沙 410081
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-07-01 发布日期:2007-07-01
  • 通讯作者: 刘先锋

Model based on semi-structured data for association rules mining

LIU Xian-feng,ZENG Ge   

  1. College of Mathematics and Computer Science,Hunan Normal University,Changsha 410081,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-01 Published:2007-07-01
  • Contact: LIU Xian-feng

摘要: 针对关联规则挖掘应用所面临的困难,分析了XML语言的技术特点,提出了一种基于半结构化数据的关联规则挖掘模式。该模式充分利用了半结构化数据源的自描述性、开放性和可扩展性方面的优势。

Abstract: Aiming at the difficulties in applications of association rule mining,analyzing the technique characteristics of the XML,this paper proposes a model based on semi-structured data for association rules mining.This model takes the advantages of semi-structured data source in self-describing,data sharing,and flexibility.