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Research on the Basic Problems of Prevention and Control of Corruption Crimes in China Based on Big Data

机译:基于大数据的中国腐败控制的基本问题研究

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Big Data contains the law of social development and criminal governance, and how to prevent and control corruption crimes to adapt to the tide of big data is the key to carry out the management of the number of times in crime prevention and control. In this regard, China should pay attention to the issue of "big data crimes" from the grasp of the concept and characteristics of big data and corruption prevention and control of corruption. This paper starts a big data interpretation of corruption through the investigation of corruption prevention and control of China under the threshold of data theory and practice, analyzes the challenge of big data against the existing corruption prevention and control system in China, and then studies the implementation of data-driven implementation of the fine prevention and control of corruption crimes. This paper puts forward the precise prevention and control category of crimes, and further opens up the road to evolution. As a tactical extension of the daily management strategy, corruption prevention and control is put forward to solve the "shortcomings" of corruption crime governance under the organic integration of "manpower + science and technology" and "traditional + modern" governance technology, crimes, corruption crimes, and prevention of corruption crime application performance.
机译:大数据载有社会发展和刑事治理,以及如何预防和控制腐败犯罪,以适应大数据的潮流,是执行预防和控制犯罪次数管理的关键。在这方面,中国应注意从掌握大数据和腐败的概念和特征的“大数据犯罪”问题。本文通过调查数据理论和实践的门槛调查中国对中国的腐败防止控制来腐败的大数据解释,分析了对中国现有腐败防治系统的大数据的挑战,然后研究实施数据驱动实施腐败犯罪的精细防治。本文提出了精确的预防和控制类别的犯罪,进一步开辟了进化之路。作为日常管理战略的战术延长,提出了腐败预防和控制,以解决腐败犯罪治理的“缺点”,“人力+科技”和“传统+现代”治理技术,犯罪,腐败罪,预防腐败犯罪申请表现。

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