摘要
在合成旅装备保障能力评估过程中,数据挖掘技术是评估数据处理的重要手段,其能够快速高效地获取有价值的评估信息。在分析合成旅装备保障能力评估数据特征基础上,构建了合成旅装备保障能力评估数据挖掘体系架构,分析研究了在合成旅装备保障能力评估中应用数据挖掘所涉及的贝叶斯分类、层次聚类分析和Apriori关联规则分析等关键技术,研究成果可为合成旅装备保障能力评估数据处理工作提供技术支撑。
In the process of synthetic brigade equipment support capability evaluation, data mining technology is an important means of evaluation data processing, which can quickly and efficiently obtain valuable evaluation information. Based on the analysis of the characteristics of synthetic brigade equipment support capability assessment data, this paper constructes the data mining architecture of synthetic brigade equipment support capability assessment, analyzes and studies the key technologies involved in the application of data mining in synthetic brigade equipment support capability assessment, such as Bayesian classification method, hierarchical cluster analysis and Apriori algorithm. The research results can provide methods and technical support for data processing of synthetic brigade equipment support capability assessment.
作者
张耀龙
阮拥军
李元勋
黄燕
刘彬
ZHANG Yao-long;RUAN Yong-jun;LI Yuan-xun;HUANG Yan;LIU Bin(Shijiazhuang Campus of Army Engineering University,Shijiazhuang 050003;Unit 32316 of PLA,Urumqi 830000,China)
出处
《指挥控制与仿真》
2023年第1期29-33,共5页
Command Control & Simulation
关键词
装备保障能力评估
数据挖掘
应用研究
equipment support capability assessment
data mining
application research
