The Reflection on Nonlinear Characteristics about the Struggle Against Corruption in China's New Era: Based on the Method and Perspective of Machine Learning

Weijian Xi; Liangfu Lu; Bei Wang; Ye Zhang

doi:10.47297/wspsprwWSP2515-471001.20220601

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The Reflection on Nonlinear Characteristics about the Struggle Against Corruption in China's New Era: Based on the Method and Perspective of Machine Learning

6卷第1期

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The Reflection on Nonlinear Characteristics about the Struggle Against Corruption in China's New Era: Based on the Method and Perspective of Machine Learning
The Reflection on Nonlinear Characteristics about the Struggle Against Corruption in China's New Era: Based on the Method and Perspective of Machine Learning
1.School of Marxism, Harbin Institute of Technology, Shenzhen, 518055 P.R.China
2.Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin,300072 P.R.China
3.School of Statistics and Data Science, Nankai University, Tianjin,300071 P.R.China
2022年6卷第1期页码：3-13
纸质出版日期： 2022-12-31 ，
DOI：10.47297/wspsprwWSP2515-471001.20220601
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(2022). The Reflection on Nonlinear Characteristics about the Struggle Against Corruption in China's New Era: Based on the Method and Perspective of Machine Learning. 社会政策评论, 6(1), 3-13.

Xi Weijian,Lu Liangfu,Wang Bei,et al.The Reflection on Nonlinear Characteristics about the Struggle Against Corruption in China's New Era: Based on the Method and Perspective of Machine Learning[J].Social Policy Review,2022,06(01):3-13.
(2022). The Reflection on Nonlinear Characteristics about the Struggle Against Corruption in China's New Era: Based on the Method and Perspective of Machine Learning. 社会政策评论, 6(1), 3-13. DOI： 10.47297/wspsprwWSP2515-471001.20220601.

Xi Weijian,Lu Liangfu,Wang Bei,et al.The Reflection on Nonlinear Characteristics about the Struggle Against Corruption in China's New Era: Based on the Method and Perspective of Machine Learning[J].Social Policy Review,2022,06(01):3-13. DOI： 10.47297/wspsprwWSP2515-471001.20220601.

摘要

Abstract

Although the scale and rate of corruptive behaviors of main social systems' power elite are small

the harm to the nation's economic development and social welfare cannot be neglected. Therefore

researches on corruptive behaviors becomes a hot and popular topic. Based on these conclusions

the government may be strict on the control of power elite with effective regulations

which belong to the important concept of modernization of national governance. Based on 265 court verdicts and data

and using the method of machine learning

this paper starts from the analysis of characteristics of power elites' corruptive behaviors

and discusses the regular patterns

influence and governance measures of power elite corruption

thus the modeling and analysis work with relative data. Last but not least

the experiments show that the positive analysis based on modeling is effective.

关键词

Keywords

Anti-corruptionGovernanceMachine learningCharacteristic extraction

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