Porcelain Publishing / SPR / Volume 6 / Issue 1 / DOI: 10.47297/wspsprwWSP2515-471001.20220601
ARTICLE

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 Xi1 Liangfu Lu2 Bei Wang1 Ye Zhang3
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1 School of Marxism,Harbin Institute of Technology,Shenzhen, 518055P.R.China
2 Academy of Medical Engineering and Translational Medicine,Tianjin University,Tianjin, 300072P.R.China
3 School of Statistics and Data Science,Nankai University,Tianjin, 300071P.R.China
© Invalid date by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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. 

Keywords
Anti-corruption; Governance; Machine learning; Characteristic extraction
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