Analysis of Rural Governance and Resource Endowment Modeling Based on Association Rule Algorithm

Authors

  • Wenxiu Gan 1)College of history and sociology, Xinjiang Normal University, Urumqi 830013, China, 2)School of Marxism, Hexi University, Zhangye 734000, China
  • Kaibing Wang Police Sports Department of Shanxi police college, Taiyuan 030401, China

DOI:

https://doi.org/10.13052/spee1048-5236.4041

Keywords:

Association rule algorithm, rural governance, resource endow- ment, modeling analysis, classified governance, factors of production.

Abstract

At present, in the modeling and analysis of rural resource endowment, the internal relationship of elements is ignored, resulting in inaccurate judgment of governance level. Therefore, the modeling and analysis of rural governance and construction resource endowment is based on association rule algorithm. Identify the characteristics of rural governance resource elements as the information basis, design the clustering algorithm to determine the association rules and element attributes, and use the association rules algorithm to mine the internal relationship of resource endowment. Taking the information of rural governance resource endowment as the direction, the evaluation index is selected, and the rural resource endowment measurement model is constructed. The experimental results show that the modeling analysis results based on association rule algorithm are consistent with the actual governance development orientation, while the modeling analysis results based on evolution analysis algorithm and special group analysis algorithm are quite different from the actual governance development orientation. Therefore, the modeling analysis in this paper is more accurate, which is conducive to the accurate implementation of governance policies and rural planning.

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Author Biographies

Wenxiu Gan , 1)College of history and sociology, Xinjiang Normal University, Urumqi 830013, China, 2)School of Marxism, Hexi University, Zhangye 734000, China

Wenxiu Gan (1980-), female, born in Yongdeng County, Gansu Province, doctoral candidate of School of History and Sociology, Xinjiang Normal University; lecturer of Hexi University; Research area: ethnic society and culture, ideological and political education. Published several papers and participated in several projects.

Kaibing Wang , Police Sports Department of Shanxi police college, Taiyuan 030401, China

Wang Kaibing, male, Han nationality, was born in 1974, Yushe County, Jinzhong City, Shanxi Province, postgraduate, master, senior psychological consultant.title: Associate Professor, research direction: physical training educational science and police sports.

Participated in 2000 and has been working in physical training educational science and police sports. Now working in the Police Sports Department of Shanxi Police College, professional and technical police supervisor, an academic leader of the college, is hired as an instructor professor by many units in China.

Received many awards of Shanxi Public Security Department and Shanxi Police college, won the Excellent Individual of Ministry of Public Security, Excellent Correspondent of Public Security Education, Excellent Police Practical Skills Instructor in Shanxi Province, Excellent Teacher and Excellent Research Worker of Shanxi Police college, and won the Special Contribution Award of Shanxi Police college.

Participate preside over 8 the provincial and ministerial projects, participated in the compilation of 1 national planning textbook for general higher education, 7 textbooks of other categories, and published more than 40 papers and 3 invention patents.

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Published

2023-02-15

How to Cite

Gan , W. ., & Wang , K. . (2023). Analysis of Rural Governance and Resource Endowment Modeling Based on Association Rule Algorithm . Strategic Planning for Energy and the Environment, 40(4), 313–330. https://doi.org/10.13052/spee1048-5236.4041

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