Volume 39 Issue 1
Jan.  2021
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LIAO Qian-qian. Research on Alarm Correlation Based on Dynamic Time Window and AlarmLevel Weight[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 37-40. doi: 10.19695/j.cnki.cn12-1369.2021.01.12
Citation: LIAO Qian-qian. Research on Alarm Correlation Based on Dynamic Time Window and Alarm Level Weight[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 37-40. doi: 10.19695/j.cnki.cn12-1369.2021.01.12

Research on Alarm Correlation Based on Dynamic Time Window and Alarm Level Weight

doi: 10.19695/j.cnki.cn12-1369.2021.01.12
  • Received Date: 2020-12-21
  • Rev Recd Date: 2021-01-17
  • Available Online: 2021-09-23
  • Publish Date: 2021-01-25
  • Aiming at the problem of large amount of alarms in mobile communication network and the uncertain correlation between alarms, this paper proposes an association rule algorithm based on FP growth algorithm, which uses dynamic time window to extract alarm transactions according to the start and end time of alarms, and adds weights to alarm transactions according to alarm levels, so as to improve the maintenance efficiency. The experimental results show that compared with the traditional methods, this method has a certain improvement in the execution time and the rule extraction effect.

     

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