计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (7): 13-15.

• 博士论坛 • 上一篇    下一篇

分布式抽样关联规则挖掘算法的研究

王锐杰1,尹怡欣1,杜军平2,涂序彦1   

  1. 1.北京科技大学 信息工程学院,北京 100083
    2.北京邮电大学 计算机学院 智能通信软件与多媒体北京市重点实验室,北京 100876
  • 收稿日期:2007-10-17 修回日期:2007-12-25 出版日期:2008-03-01 发布日期:2008-03-01
  • 通讯作者: 王锐杰

Research on distributed sampling association rule mining algorithm

WANG Rui-jie1,YIN Yi-xin1,DU Jun-ping2,TU Xu-yan1   

  1. 1.School of Information Science,Beijing Technology and Science University,Beijing 100083,China
    2.Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia,Beijing University of Posts and Telecommunications,Beijing 100876,China

  • Received:2007-10-17 Revised:2007-12-25 Online:2008-03-01 Published:2008-03-01
  • Contact: WANG Rui-jie

摘要: 介绍了假日旅游信息数据挖掘的概念,提出了一种改进的分布式抽样关联规则挖掘算法DS-ARM,给出了算法的实现过程,并对算法性能进行了测试,利用DS-ARM算法对假日旅游者在目的地的旅游行为模式进行了研究。

Abstract: This paper introduces the concept of the holiday tourism information data mining,proposes an improved distributed sampling association rule mining algorithm-DS-ARM,defines the realization process of the algorithm and tests the capability of the algorithm and uses the algorithm in the analysis of the holiday traveler destination traveling behavior.