论公安情报分析与大数据分析的融合

发布时间：2018-06-19 02:10

本文选题：公安情报分析 + 大数据分析　；参考：《情报理论与实践》2017年10期

【摘要】：[目的/意义]在大数据环境下,公安情报分析面对庞杂、多样的数据,需要与大数据分析融合,才能提高情报分析能力。[方法/过程]依次阐述公安情报分析与大数据分析融合的背景、意义、方式及策略。[结果/结论]研究发现,公安情报分析与大数据分析融合,是适应大数据发展的需要,也是提升情报分析能力的必然要求。两者的融合,体现在分析对象、业务流程、技术方法和分析系统等方面;应以公安情报分析为主体,同时理性认识大数据分析的不足。
[Abstract]:[objective / significance] in the environment of big data, the police information analysis faces a lot of complicated and diverse data, so it is necessary to fuse with big data analysis to improve the ability of information analysis. Methods / process: the background, significance, method and strategy of the fusion of police intelligence analysis and big data analysis are expounded in turn. [results / conclusion] it is found that the fusion of police intelligence analysis and big data analysis is necessary to meet the needs of the development of big data and to enhance the ability of information analysis. The fusion of the two should be reflected in the analysis object, business process, technical method and analysis system, and the police intelligence analysis should be taken as the main body, and the deficiency of big data analysis should be rationally recognized at the same time.
【作者单位】：中国人民公安大学侦查与反恐怖学院;
【基金】：国家社会科学基金项目“大数据环境下公安情报学理论体系研究”的成果,项目编号:14BTQ025
【分类号】：G350

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