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According to the characteristics of alarm data and the alarm spread in SDH system, and the existence of various shortcomings of the classical algorithm, this paper presents the FP-Growth of non-temporal association rule mining algorithm. We join the relationship between network topology as a constraint to filter the interference of unrelated network equipment alarms form the related network element alarms. In the process of alarm association rule mining we improve the timeliness and accuracy of the results. Keywords-Alarm correlation; Network topology constraints; FP-Growth algorithm; Data mining

Alarm Correlation Analysis in SDH Network Failure