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大数据在维护边境地区社会稳定的应用实践与思考 被引量:1

Application Practice and Thinking of Big Data in Maintaining Social Stability in Border Areas
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摘要 公安大数据在打击边境地区违法犯罪活动、维护边境地区安全和社会稳定发挥了重要作用。从公安大数据在维护边境地区稳定的应用现状看,仍存在以下问题:缺乏统一的数据应用平台、有效的数据安全管理手段、良好的数据思维,数据资源的整合和共享还存在壁垒以及专业技术人才匮乏。为使公安大数据在边境地区公共安全管理工作中发挥出更大效能,需要建设更加多元异构的大数据应用平台、培养公安民警的大数据思维、构建基层专业化人员队伍、增强公安大数据安全保护。 Public security big data has played an important role in combating illegal and criminal activities and maintaining security and social stability in border areas.From the application status,there are the following problems:lack of unified data application platform,effective data security management means,good data thinking,professional technicians,and barriers to the integration and sharing of data resources.In order to make the public security big data play a greater role in the public security management in border areas,it is necessary to build a more diversified and heterogeneous big data application platform,cultivate the big data thinking of police,build a professional team at the grass-roots level,and enhance the security protection of public security big data.
作者 黄前明 Huang Qianming(People's Public Security University of China,Beijing 100038)
出处 《警学研究》 2022年第5期120-128,共9页 Police Science Research
关键词 大数据 公安信息化 边境地区 应用 big data public security informatization border areas applications
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