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关联规则算法的电信网络告警应用
Association Rules Algorithm Applied to Telecommunications Network Alarms
【摘要】 为提高网络告警数据的处理效率,迅速找出故障根源,以保证整个电信网络的正常运行。针对告警数据的特点对传统的关联规则算法进行了相应的改进,提供了优先剪枝策略,避免了生成没有意义的频繁项集;k-1-项集通过连接操作生成k项集,避免了反复扫描数据库所带来的压力。结果表明,改进算法提高了挖掘效率,达到快速诊断网络故障的目的。
【Abstract】 Modern telecommunications networks are very powerful,and there is a sharp increase in business volume,and network is becoming large,complex,heterogeneous.In order to ensure the normal operation of the entire telecommunications network,we must improve the efficiency of processing network alarm,and identify the root causes of failure rapidly.Association rules algorithm of data mining can effectively analyze the relevance of things happened in the network warning system.It can also accurately locate the failure of a network application.We improved the traditional association rules algorithm corresponding the characteristics of alarm data.We improved mining efficiency and achieved a rapid diagnosis of network failures.
【Key words】 alarm diagnostic; data mining; association rules; Apriori algorithm;
- 【文献出处】 吉林大学学报(信息科学版) ,Journal of Jilin University(Information Science Edition) , 编辑部邮箱 ,2010年03期
- 【分类号】TP311.13;TN915
- 【被引频次】15
- 【下载频次】139