Research of Fault Alarm Correlation Analysis Based on Association Rules in Communication Network

In this paper, the alarm correlation analysis in communication networks is proposed based on association rules. With the complex situation in the network and a huge amount of information updated continuously, it was unrealistic and uneconomical that we did another alarm association rule mining when database updated. So it is possible to hold an alarm association rule mining only on the update data. This paper uses incremental association rule mining, and puts the improved incremental algorithm of FUP algorithm into the application of fault alarm correlation analysis in the network. It combines the traditional sophisticated analysis of alarm and the association rules mining. The improved algorithm is proved efficient on the research of Fault Alarm Correlation Analysis in communication network through experiments. It reduces the redundant rules, and significantly improves the efficiency of mining.