Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29–31, 2024, Wuhan, China

Research Article

Application of Data Mining in Higher Vocational Recruitment

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  • @INPROCEEDINGS{10.4108/eai.29-3-2024.2347626,
        author={Xinyi  Zhou and Chuanmin  Su},
        title={Application of Data Mining in Higher Vocational Recruitment},
        proceedings={Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29--31, 2024, Wuhan, China},
        publisher={EAI},
        proceedings_a={EIMT},
        year={2024},
        month={6},
        keywords={higher vocational education admissions data mining decision tree},
        doi={10.4108/eai.29-3-2024.2347626}
    }
    
  • Xinyi Zhou
    Chuanmin Su
    Year: 2024
    Application of Data Mining in Higher Vocational Recruitment
    EIMT
    EAI
    DOI: 10.4108/eai.29-3-2024.2347626
Xinyi Zhou1,*, Chuanmin Su1
  • 1: Dalian Vocational and Technical College
*Contact email: 178342361@qq.com

Abstract

With the rapid advancement of information technology, data mining has emerged as a crucial approach to extracting valuable information and knowledge. Given the continuous growth of higher vocational enrollment and the intricacy of enrollment processes, the utilization of data mining techniques has garnered increasing attention. This paper aims to investigate the application of data mining technology in the enrollment process of vocational colleges, with the goal of offering more scientifically-informed strategies for vocational college admissions and enhancing the accuracy and efficiency of enrollment practices.