基于数据挖掘的公开网络军事情报分析研究被引量：5

Research on Military Intelligence Analysis of Open Network Based on Data Mining

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摘要 [目的/意义]从军事情报工作角度来看,网络的兴起和广泛应用为情报获取开辟了新天地,但网络中持续增长的数据量,使传统的情报分析变得捉襟见肘。因此,丰富和发展军事情报分析方法,对弥补当前情报分析中存在的不足具有一定的现实意义。[方法/过程]针对传统的军事情报分析方法无法实现对网络上海量信息进行深入挖掘分析,获取军事所需的深层情报知识,将数据挖掘技术引入到军事情报分析之中,构建了基于数据挖掘的网络军事情报分析模型。[结果/结论]该模型中基于语义关联的情报分析算法比传统的关联分析具有一定的优越性,可以有效地提高了军事情报的分析效率和精度。 [ Purpose/Significance ] From the point of view of military intelligence, network widely used for obtaining intelligence breaks new ground, but the growing amount of data in network makes the traditional intelligence analysis become stretched. Therefore, to enrich and develop the military intelligence analysis method, and to make up for deficiencies has certain practical significance for the current intel- ligence analysis. [ Method/Process]In order to make up for the failure of traditional intelligence analysis methods and to implement the deep mining on vast amounts of network information so as to obtain the intelligence knowledge required by army, this paper combines data mining technology with military intelligence to construct a military intelligence analysis model of open network based on data mining. [ Re- suit/Conclusion] The model based on intelligence analysis algorithms associated with semantics has certain advantages over traditional re- lational analysis, it can effectively improve the efficiency and accuracy of the military intelligence analysis.

作者张月婷韩全惜

机构地区南京政治学院上海校区

出处《情报杂志》 CSSCI 北大核心 2016年第9期12-15,共4页 Journal of Intelligence

关键词数据挖掘公开网络军事情报智能分析 data mining open network military intelligence intelligent analysis

分类号 E87 [军事—军事情报学]

作者简介张月婷（ORCID：0000—0001—5130—6518），女，1990年生，硕士研究生，研究方向：情报分析；韩全惜（ORCID：0000-0002-8817-5336），男，1965年生，硕士生导师，副教授，研究方向：信息系统开发、情报分析。

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