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并通过定义与深入分析故障告警中的关联规则和情节规则，提出了一个基于数据融合和数据挖掘技术的网络故障管理的架构模型。
It presents a new model for network fault management based on data fusion and data mining by defining and discussing the association rule and the frequent episodes.
针对传统的入侵检测系统存在的误警率高、存在告警洪流、告警孤立等缺点，引入了数据融合方法，提出了一个分布式入侵检测中的数据融合模型。
Aiming at the problem of traditional intrusion system, such as high false alert rate, alert torrent, alert isolation, a data fusion model in distributed intrusion detection is put forward.
利用聚类概念，对激光告警器测量数据进行集类，并对各个类对应的目标状态进行空间-时间融合。
The clustering concept is applied to the measurements of the laser warner, and space-time fusion for the measurements in the same cluster is made.
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