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Mining Sequential Alarm Patterns in a Telecommunication Database
[chapter]
1999
Lecture Notes in Computer Science
A telecommunication system produces daily a large amount of alarm data which contains hidden valuable information about the system behavior. The knowledge discovered from alarm data can be used in finding problems in networks and possibly in predicting severe faults. In this paper, we devise a solution procedure for mining sequential alarm patterns from the alarm data of a GSM system. First, by observing the features of the alarm data, we develop operations for data cleaning. Then, we transform
doi:10.1007/3-540-45432-2_4
fatcat:erdo4ogsmvffvawsamllbj6xie