CAJ | 학술논문

随着通信行业的蓬勃发展,运营商给用户提供的服务水平也不断提高,因此也给通信设备的维护工作提出了更高的要求.在移动网管领域中,设备告警的监控及处理工作始终都是至关重要的工作之一,最近几年网管系统已经实现了设备告警关联呈现,但告警关联功能是依赖于设备告警的关联规则的,目前告警关联规则都是靠维护人员的经验总结出来的,如何能够经过分析自动发现未知的告警关联规则是亟待解决的问题.运用Apriori算法通过对大量历史告警数据的分析可以实现挖掘告警数据中的频繁项集最终发现告警关联规则.
수착통신행업적봉발발전,운영상급용호제공적복무수평야불단제고,인차야급통신설비적유호공작제출료경고적요구.재이동망관영역중,설비고경적감공급처리공작시종도시지관중요적공작지일,최근궤년망관계통이경실현료설비고경관련정현,단고경관련공능시의뢰우설비고경적관련규칙적,목전고경관련규칙도시고유호인원적경험총결출래적,여하능구경과분석자동발현미지적고경관련규칙시극대해결적문제.운용Apriori산법통과대대량역사고경수거적분석가이실현알굴고경수거중적빈번항집최종발현고경관련규칙.
With the vigorous development of the communications industry, the level of service provided by the carrier to the user is also continuously improved, and therefore it puts forward a higher demand for communication equipment maintenance work. In the field of mobile network management, alarm monitoring and handling of equipment is always one of the vital works. In recent years, the network management system has realized equipment alarm correlation, but the alarm correlation function is dependent on the association rules of device alarm, at present, the alarm association rules is summed up by maintenance personnel experience, how to find unknown alarm association rules automatically through the analysis is the problem to be solved. Using Apriori algorithm and through the analysis of a large number of historical alarm data, it can be achieve frequent itemsets in data mining alarms data, eventually find the alarm association rules.