Automatic alarm prioritization by data mining for fault management in cellular networks

作者：

Highlights：

• Trouble ticket information is key for alarm prioritization in Fault Management.

• Data mining reveals complex relationships between alarms and trouble tickets.

• Supervised machine learning classifier predicts the need of a trouble ticket.

• Automatic alarm ticketing systems as a effective tool for time and effort saving.

摘要

•Trouble ticket information is key for alarm prioritization in Fault Management.•Data mining reveals complex relationships between alarms and trouble tickets.•Supervised machine learning classifier predicts the need of a trouble ticket.•Automatic alarm ticketing systems as a effective tool for time and effort saving.

论文关键词：Network management,Automation,Fault management,Data mining,Machine learning

论文评审过程：Received 1 April 2019, Revised 16 March 2020, Accepted 3 May 2020, Available online 30 May 2020, Version of Record 20 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113526