为有效解决分布式攻击，提出了基于多传感器数据融合与挖掘的分布式入侵检测模型。
To solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).
提出一种将数据挖掘技术与装配工艺知识相融合的白车身装配尺寸偏差源快速诊断方法。
A rapid diagnosis method synthesized data mining technology and assembly process knowledge for body-in-white assembly dimension error sources is presented.
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.
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