The Application of Data Mining in Payroll Distribution


The Application of Data Mining in Payroll Distribution


Zhong Zheng1*, Lingli Huang2, Tianlong Wang3, Gang Wang4, Wenjie Liu5

1College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, 443002, China. 2College of Science, China Three Gorges University, Yichang, 443002, China. 3College of Civil Engineering & Architecture, China Three Gorges University, Yichang, 443002, China. 4College of Mechanical & Power Engineering, China Three Gorges University, Yichang, 443002, China. 5College of Foreign languages, China Three Gorges University, Yichang, 443002, China


International Journal of Industrial and Business Management

This paper studies the application of data mining in total wage distribution. The wage distribution model based on entropy method and analytic hierarchy process is established. Taking a state-owned enterprise as an example, the data was preprocessed with the linear equation fitting method. Entropy method was used to determine the weight of the influencing factors of wage distribution, and the first 8 factors were selected as the main influencing factors. The analytic hierarchy process (AHP) was used to calculate the weight of contract worker’s salary and contract employees’ salary as 0.342 and 0.658, respectively. On this basis, the total wage distribution. Compare and analyze the established distribution plan with the original distribution plan, and put forward improvement Suggestions to the original distribution plan: should increase the proportion of contract labor.


Keywords: The unitary linear equation fitting; Entropy method; AHP


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How to cite this article:
Zhong Zheng, Lingli Huang, Tianlong Wang, Gang Wang, Wenjie Liu. The Application of Data Mining in Payroll Distribution. International Journal of Industrial and Business Management, 2020; 4:17. DOI: 10.28933/ijibm-2020-01-2505


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