Network Alarm Analysis Based on Data Mining and LSTM

Bin Lu
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Abstract

Network alarms are becoming more and more complex, and the scale is increasing sharply. When the root alarm is generated by the devices, a lot of redundant alarms are often triggered. The traditional processing mode is difficult to find the root alarm and filter out the redundant alarm. We provide a new analysis method based on data mining and long short-term memory(LSTM) to find the root alarm and to filter out the redundant alarm.
基于数据挖掘和LSTM的网络告警分析
网络报警越来越复杂,规模也在急剧增长。当设备产生根告警时,往往会触发大量冗余告警。传统的处理方式难以找到根源告警,难以过滤掉冗余告警。提出了一种基于数据挖掘和LSTM (long - short-term memory,长短期记忆)的分析方法来查找根源告警和过滤冗余告警。
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