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Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I

Research Article

Research on Voluntary Intelligent Reporting System of College Entrance Examination Based on Big Data Technology

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  • @INPROCEEDINGS{10.1007/978-3-030-67871-5_10,
        author={Shu-xin Guo and Li Lin},
        title={Research on Voluntary Intelligent Reporting System of College Entrance Examination Based on Big Data Technology},
        proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2021},
        month={2},
        keywords={Big data technology College entrance examination Intelligent filling Data mining},
        doi={10.1007/978-3-030-67871-5_10}
    }
    
  • Shu-xin Guo
    Li Lin
    Year: 2021
    Research on Voluntary Intelligent Reporting System of College Entrance Examination Based on Big Data Technology
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-67871-5_10
Shu-xin Guo1, Li Lin2,*
  • 1: Jilin University of Finance and Economics
  • 2: School of Computer Engineering, Jimei University
*Contact email: xd220210@163.com

Abstract

The college entrance examination application is a complex system project, which needs to collect many kinds of information. Aiming at the deficiency of the system research based on the analysis of the domestic mainstream platform, the reference system and Sina simulation system of college entrance examination application, the intelligent application system of college entrance examination application is designed based on big data technology. Considering the scores of examinees, the enrollment plan of colleges and universities, the enthusiasm of application, the prospect of professional development and other factors, the hardware structure of the intelligent filling system for college entrance examination is constructed. Through big data analysis and data mining, a large amount of real and valuable information for college entrance examination filling can be provided for the majority of examinees. It can be seen from the experimental verification results that the system fills in accurate results and has an ideal filling effect, which helps the candidates to apply for the ideal school and improve the admission rate.

Keywords
Big data technology College entrance examination Intelligent filling Data mining
Published
2021-02-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67871-5_10
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