将多传感器数据融合与数据挖掘技术应用到分布式入侵检测中，可连续和全面地提供网络攻防战场环境态势的综合评估。
By applying Multisensor Data Fusion and Data Mining to intrusion detection, DIDM provides the comprehensive assessment of network attack and defense situations continuously and globally.
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.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
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