Research Article
Design of Human Resources Multi-dimensional Evaluation System Based on Big Data Mining
@INPROCEEDINGS{10.1007/978-3-031-18123-8_35, author={Haonan Chu and Junlin Li}, title={Design of Human Resources Multi-dimensional Evaluation System Based on Big Data Mining}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Big data mining Human resources Multi-dimensional evaluation System design}, doi={10.1007/978-3-031-18123-8_35} }- Haonan Chu
Junlin Li
Year: 2022
Design of Human Resources Multi-dimensional Evaluation System Based on Big Data Mining
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_35
Abstract
In order to improve the load quota and throughput performance of human resources multi-dimensional evaluation system, this study proposes a human resources multi-dimensional evaluation system based on big data mining. The system includes four parts: data acquisition module, data preprocessing module, evaluation module and feedback incentive module; According to the demand of system mining human resource data, the decision tree algorithm is used to mine human resource data, and then according to the evaluation purpose, characteristics and principles, the evaluation index construction steps are designed to build a multi-dimensional evaluation index system. On the basis of determining the factor set of evaluation indicators, calculate the weight of evaluation indicators, so as to establish a multi-dimensional evaluation model of human resources and realize the multi-dimensional evaluation of human resources. The experimental results show that the load and throughput test indexes of the system are within the design standard, which proves that the system has achieved the expected goal.
