大数据技术在毒品犯罪侦控中的应用与完善

Application and Improvement of Big Data Technology in Drug Crime Investigation and Control

当下,毒品犯罪生态的数据化、相关数据的碎片化和信息交流的无界化给侦控工作带来了较多挑战。大数据技术以数据空间为场景,遵循相关性逻辑,契合毒品犯罪侦控的需要。在实践中,公安机关可以采取数据检索、比对技术排查线索,以数据挖掘技术收集证据,并通过算法预测实现毒品犯罪的有效防控。为了完善大数据技术在毒品犯罪侦控中的应用,有必要在数据采集、侦查理念和证据规则等方面构建相关机制和规则。

At present,problems like the digitization of drug crime ecology,the fragmentation of relevant data and the boundlessness of information exchange have brought more challenges to the investigation and control work.Big data technology takes the data space as the scene,follows the correlation logic,and meets the needs of drug crime investigation and control.In practice,public security organs can take data retrieval and comparison technology to check clues,collect evidence with data mining technology,and realize the effective prevention and control of drug crimes through algorithm prediction.In order to improve the application of big data technology in drug crime investigation and control,it is necessary to build relevant mechanisms and rules in data collection,investigation concept and evidence rules.