Research Article
Human Resource Allocation Effectiveness Assessment Based on K-Means Algorithm
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328746, author={Xuan Wang}, title={Human Resource Allocation Effectiveness Assessment Based on K-Means Algorithm}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={human resources; big data; k-means algorithm}, doi={10.4108/eai.2-12-2022.2328746} }- Xuan Wang
Year: 2023
Human Resource Allocation Effectiveness Assessment Based on K-Means Algorithm
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328746
Abstract
Based on the modern human resource theory of "personnel quality" and the requirement of balanced staffing, this paper selects the K-Means clustering algorithm, which is simple and efficient in multidimensional data mining analysis with low time complexity and spatial complexity, as a tool for data mining analysis of human resources allocation in audit departments, taking into account the actual high professional quality requirements for personnel in audit operations and the use of data mining technology in human resources allocation analysis at home and abroad. The K-Means clustering algorithm, which is simple and efficient in multidimensional data mining analysis with low time complexity and space complexity, is selected as a tool for data mining analysis, thus clarifying the main direction of data mining analysis research on human resource allocation in audit departments.
