关于犯罪信息数据分析模式的理论探讨
|
摘要
犯罪信息分析在打击各类犯罪活动中越来越显示出它的重要作用,准确、可靠、全面的信息是打击和防范犯罪的基础与保障。与传统的信息处理模式相比,以大数据为基础的犯罪信息分析是通过超强的计算与分析能力的工作、信息资源的共享、协同有效的处理工作,完成某种特定的犯罪信息计算任务,从而进一步对犯罪信息进行深度的研判。基于大数据的信息技术是警察机构对犯罪信息研判的关键技术之一,是警察机构提高打击与防范犯罪能力的有效途径。
With the coming of big data, information has played a more and more important role in the international crime struggle. The increase of scale and complexity of big data exceeds that of the capacity of software and hardware characterized by the law, which brings big challenge to the architecture, the processing and computing capacity of the contemporary counter-terrorism information analysis systems, meanwhile presents unprecedented opportunities on deeply mining and taking full advantage of the value of big data. In this thesis a detail analysis of bag data mode is provided from its concept, principle, and constituent. It can also be a reference for modern police management mode.Presently, the government has realized that accurate, reliable and all-round information is not only the prerequisite to attacking terrorism but foundation of making crime measures. It's necessary to work out applicable countermeasures of crime information according to the situation of the country. The increase of scale and complexity of big data exceeds that of the capacity of software and hardware characterized by the law, which brings big challenge to the architecture, the processing and computing capacity of the contemporary crime information analysis systems, meanwhile presents unprecedented opportunities on deeply mining and taking full advantage of the value of big data. Therefore, it is pressing to investigate the disciplinary issues and discover the common laws of big data, and further study the fundamental crime information analysis theories and basic approaches to qualitatively or quantitatively dealing with big data.
With the coming of big data, information has played a more and more important role in the international crime struggle. The increase of scale and complexity of big data exceeds that of the capacity of software and hardware characterized by the law, which brings big challenge to the architecture, the processing and computing capacity of the contemporary counter-terrorism information analysis systems, meanwhile presents unprecedented opportunities on deeply mining and taking full advantage of the value of big data. In this thesis a detail analysis of bag data mode is provided from its concept, principle, and constituent. It can also be a reference for modern police management mode.Presently, the government has realized that accurate, reliable and all-round information is not only the prerequisite to attacking terrorism but foundation of making crime measures. It's necessary to work out applicable countermeasures of crime information according to the situation of the country. The increase of scale and complexity of big data exceeds that of the capacity of software and hardware characterized by the law, which brings big challenge to the architecture, the processing and computing capacity of the contemporary crime information analysis systems, meanwhile presents unprecedented opportunities on deeply mining and taking full advantage of the value of big data. Therefore, it is pressing to investigate the disciplinary issues and discover the common laws of big data, and further study the fundamental crime information analysis theories and basic approaches to qualitatively or quantitatively dealing with big data.
引文
[1]孙树峰.基于云计算的警务情报信息挖掘与应用研究[J].甘肃警察职业学院学报,2013,(2).
[2]包虹,刘德康.大数据视野下电信诈骗犯罪案件侦查策略探索[J].甘肃警察职业学院学报,2017,(4).
[3]李双其.论信息引导侦查[J].中国人民公安大学学报(社会科学版),2005,(6).
[4]张俊,符钟.内容分析法在反恐情报分析中的应用研究[J].科技信息,2009,(11).
[5]马文峰.试析内容分析法在社科情报学中的应用[J].情报科学,2000,(4).
[6]周飞,石晋杰,崔磊.“大数据”时代的公安工作初探[J].上海公安高等专科学校学报,2013,(2).
[7]李亦农.犯罪情报分析[M].济南:山东人民出版社,2013.
(1)李忠诚.论我国反恐情报的运用对策[J].贵州警官职业学院学报,2004,(1).
(1)顾涛.基于大数据的竞争情报协作分析研究[J].情报科学,2013,(12).
(2)姚尧.对我国反恐情报工作的思考--从孟买恐怖袭击反思中国的反恐情报工作[J].铁道警官高等专科学校学报,2009,(4).
(3)芦鹏.二十世纪美国反恐情报应用模式初探[J].武警学院学报,2010,(11).
(1)李本先,梅建明,李孟军.反恐情报及预警系统框架设计[J].中国人民公安大学学报(社会科学版),2012,(4).
[2]包虹,刘德康.大数据视野下电信诈骗犯罪案件侦查策略探索[J].甘肃警察职业学院学报,2017,(4).
[3]李双其.论信息引导侦查[J].中国人民公安大学学报(社会科学版),2005,(6).
[4]张俊,符钟.内容分析法在反恐情报分析中的应用研究[J].科技信息,2009,(11).
[5]马文峰.试析内容分析法在社科情报学中的应用[J].情报科学,2000,(4).
[6]周飞,石晋杰,崔磊.“大数据”时代的公安工作初探[J].上海公安高等专科学校学报,2013,(2).
[7]李亦农.犯罪情报分析[M].济南:山东人民出版社,2013.
(1)李忠诚.论我国反恐情报的运用对策[J].贵州警官职业学院学报,2004,(1).
(1)顾涛.基于大数据的竞争情报协作分析研究[J].情报科学,2013,(12).
(2)姚尧.对我国反恐情报工作的思考--从孟买恐怖袭击反思中国的反恐情报工作[J].铁道警官高等专科学校学报,2009,(4).
(3)芦鹏.二十世纪美国反恐情报应用模式初探[J].武警学院学报,2010,(11).
(1)李本先,梅建明,李孟军.反恐情报及预警系统框架设计[J].中国人民公安大学学报(社会科学版),2012,(4).