摘要
在大数据环境下,传统情报分析方法面临新的挑战,需不断进行创新和探索。文章对近十年关于情报分析方法相关文献进行梳理,分析大数据环境下情报分析方法的变化,并提出应对办法,比如,探索多源异构数据的融合分析方法、升级解决信息伦理问题的技术方法、探索情报溯源和可靠性检测的质控方法。以此为未来情报分析方法的相关研究提供帮助。
In the big data environment,the traditional intelligence analytic methods are facing new challenges,require continuous innovation and exploration.This paper reviews relevant literature on intelligence analytic methods from the past decade,then,analyzes the evolution of intelligence analytic methods in the big data environment.Finally,the paper puts forward countermeasures,such as:exploring the fusion analytic methods of multi-source heterogeneous da-ta,upgrading the technical method of solving information ethics problems,and exploring the quality control method of intelligence traceability and reliability detection.The analytic result will provide help for the future research of in-formation science analytic methods.
作者
于婷
Yu Ting(College of Applied Arts and Sciences,Beijing Union University,Beijing 100191,China)
出处
《办公自动化》
2024年第16期81-83,共3页
Office Informatization
关键词
大数据
情报分析方法
big data
intelligence analytic method
