大数据背景下的侦查数据思维及实现方式  

On Investigation Data Thinking and Implementation Forms under Big Data Background

作　　者：林美玉 沙贵君[1] LIN Mei-yu;SHA Gui-jun(China Criminal Police Academy,Shenyang 110000,China)

机构地区：[1]中国刑事警察学院,辽宁沈阳110000

出　　处：《广西警察学院学报》2018年第5期52-58,共7页Journal of Guangxi Police College

摘　　要：大数据时代,犯罪主体、犯罪对象、犯罪时间、犯罪空间、犯罪工具手段等都有了新的变化。伴随着大数据时代而衍生的侦查数据思维方式,是对传统侦查思维的继承与发展。侦查数据思维的应用有助于打破专案侦查僵局、提高侦查破案效率、提升办案工作质量。侦查数据思维方式的形成,可从培养侦查主体的大数据意识、学习由数据引导的被动性与主动性思维方法、学习从相关关系数据中寻找案侦切入点或突破口的方法三个途径去实现。Under big data background, there are new changes in crime subject and crime object, time space and tools for crime-committing. The birth of investigation data thinking and forms under big data background represents inheritance and development of traditional investigation data thinking. Application of investigation data thinking contributes to breaking of the investigation deadlock, improvement of the efficiency of criminal investigation and case-handling quality. Development of investigation data thinking.forms can be carried out by seeking an investigation breakthrough point, which calls for starting with cultivation of big data-based investication subject awareness, study of data-guided passive and active thinking methods and related data.

关 键 词：大数据 侦查思维 数据思维 

分 类 号：D631.1[政治法律—政治学]