Performance Evaluation of Two Data Mining Techniques of Network Alarms Analysis
نویسندگان
چکیده
In large telecommunication networks, alarms are usually useful for identifying faults and, therefore solving them. However, for large systems the number of alarms produced is so large that the current management systems are overloaded. One way of overcoming this problem is to analyse and interpret these alarms before faults can be located. Two different techniques were developed and setup to reach this goal. In this paper, we study these two approaches and evaluate their performance using data from a live network.
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