计算机应用 ›› 2012, Vol. 32 ›› Issue (01): 199-201.DOI: 10.3724/SP.J.1087.2012.00199

• 数据库技术 • 上一篇    下一篇

数据挖掘算法的改进及其在Chord网络中的应用

王春风,周宁   

  1. 盐城工学院 现代教育技术中心,江苏 盐城 224051
  • 收稿日期:2011-06-28 修回日期:2011-08-22 发布日期:2012-02-06 出版日期:2012-01-01
  • 通讯作者: 王春风
  • 作者简介:王春风(1979-),女,江苏南通人,讲师,硕士,主要研究方向:数据挖掘、虚拟现实、网格技术;周宁(1972-),男,江苏盐城人,副教授,硕士,主要研究方向:计算机网络、语义Web。
  • 基金资助:

    盐城市科技发展计划项目(YK2009092)

Improvement of data mining algorithm and its application in Chord network

WANG Chun-feng,ZHOU Ning   

  1. Modern Education Technology Center, Yancheng Institute of Technology, Yancheng Jiangsu 224051, China
  • Received:2011-06-28 Revised:2011-08-22 Online:2012-02-06 Published:2012-01-01
  • Contact: WANG Chun-feng

摘要: 为了提高数据挖掘算法的效率以及Chord资源定位的速度,引入条件模式以及深度优先的策略改进数据挖掘算法,并将改进后的数据挖掘算法应用到Chord网络的路由表中,通过删除无效或使用频率极低的路由和增加相关路由信息的方法,加速资源定位过程。最终性能比较实验表明,数据挖掘改进算法不仅体现了优越的算法性能,同时通过挖掘Chord网络的关联规则,有效地提升了系统的资源定位性能。

关键词: 数据挖掘, 资源定位, 定位机制, 频繁项目集, 路由信息

Abstract: To improve the efficiency of data mining algorithms and the speed of Chord resource location, the paper optimized the data mining algorithm by introducing the conditional model and the depth-first strategy, and then applied the data mining algorithm in the Chord network routing table. The paper speeded up the process of resource location by deleting the routing information of invalid or low frequency use, and adding the relevant routing information. Finally, the performance comparison experiments show that the improved data mining algorithm reflects the superior performance, and effectively improves the positioning performance of the system's resources by mining the association rules of the Chord network.

Key words: data mining, resource location, location mechanism, frequent itemsets, routing information

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