Research on the Basic Problems of Prevention and Control of Corruption Crimes in China Based on Big Data
- DOI
- 10.2991/icmess-18.2018.145How to use a DOI?
- Keywords
- Big data of crimes; Corruption crimes; Prevention and control; Crime governance mode
- Abstract
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.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yuehong Wu AU - Yaming Fang PY - 2018/06 DA - 2018/06 TI - Research on the Basic Problems of Prevention and Control of Corruption Crimes in China Based on Big Data BT - Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018) PB - Atlantis Press SP - 655 EP - 664 SN - 2352-5398 UR - https://doi.org/10.2991/icmess-18.2018.145 DO - 10.2991/icmess-18.2018.145 ID - Wu2018/06 ER -