电信科学 ›› 2007, Vol. 23 ›› Issue (11): 57-60.doi: 10.3969/j.issn.1000-0801.2007.11.021

• 硕博论文 • 上一篇    下一篇

基于加权关联模式的通信网告警相关性分析

冯婧垚,李兴明   

  1. 电子科技大学宽带光纤传输与通信网技术教育部重点实验室 成都610054
  • 出版日期:2007-11-15 发布日期:2017-07-03
  • 基金资助:
    国家自然科学基金资助项目

Weighted Association-Pattern-Based for Alarm Correlation Analysis in Communication Network

Jingyao Feng,Xingming Li   

  1. The Key Lab of Broadband Optic Fiber Transmission and Communication Systems, UESTC, Chengdu 610054, China
  • Online:2007-11-15 Published:2017-07-03

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摘要：

加权关联规则挖掘是告警相关性分析的重要手段。本文引入了比例加权支持度的概念，提出了一种基于加权关联模式树的加权关联模式挖掘算法。实验表明，本算法与MINWAL(O)算法相比，时间效率有了明显提高，节约了存储空间，告警相关性分析的准确性也得到了提高。

关键词: 告警相关性分析, 加权关联模式, 比例加权支持度, 加权关联模式树

Abstract:

The mining of weighted association rules is a primary method used in alarm correlation analysis. In this paper, a new algorithm, weighted association pattern mining from weighted associated pattern tree is proposed, in which a new measure, ratio-weighted support, is developed. Experimental results demonstrate compared with MINWAL(O) algorithm, this algorithm has higher temporal efficiency and requires less memory. Also, the accuracy of alarm correlation analysis is improved.

Key words: alarm correlation analysis, weighted association pattern, ratio-weighted support, weighted associated pattern tree

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