摘要： 针对网络故障复杂、告警数据库信息量大等问题，提出一种改进的增量式关联规则挖掘算法。采用关联规则挖掘技术，对告警数据库中的更新规则进行增量关联规则挖掘，将传统告警分析方法与挖掘出的关联规则相结合，应用于网络故障告警相关性分析中。实验结果表明，该算法能减少冗余规则，提高挖掘效率。

关键词: 关联规则, 增量式挖掘, 故障告警, 相关性分析

Abstract: Aiming at the complexity of network fault and a huge amount of information in alarm database, this paper proposes an improved incremental association rule mining algorithm. It uses incremental association rule mining only on the update data, combines the traditional analysis of alarm and the association rules mining. The algorithm is applied into the application of fault alarm correlation analysis in the network. Experimental results show that the algorithm can reduce the redundant rules, and improve the efficiency of mining.

Key words: association rule, incremental mining, fault alarm, correlation analysis

中图分类号: 

• TP311