Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–26, 2023, Zhengzhou, China

Research Article

Application Research of Data Mining in the Process of Cultivating Community Culture

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  • @INPROCEEDINGS{10.4108/eai.24-11-2023.2343568,
        author={Zhe  Zhang and Youwen  Zhang},
        title={Application Research of Data Mining in the Process of Cultivating Community Culture},
        proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={ITEI},
        year={2024},
        month={4},
        keywords={data mining; community cultural education; effectiveness assessment; decision support; model interpretability},
        doi={10.4108/eai.24-11-2023.2343568}
    }
    
  • Zhe Zhang
    Youwen Zhang
    Year: 2024
    Application Research of Data Mining in the Process of Cultivating Community Culture
    ITEI
    EAI
    DOI: 10.4108/eai.24-11-2023.2343568
Zhe Zhang1,*, Youwen Zhang2
  • 1: Shandong Institute of Commerce and Technology
  • 2: Jilin University
*Contact email: zhangzhe0531@163.com

Abstract

Community cultural education is an important means to enhance citizens' cultural literacy, and assessing and continuously improving the effectiveness of education is the current focus of research. This study, with the background of evaluating and optimizing the effectiveness of community cultural education, aims to explore the application of data mining techniques in community cultural education research. Through the construction of an evaluation system and quantitative and qualitative analysis, this study assesses and enhances the relevance and effectiveness of educational decisions. The research indicates that data mining techniques can effectively support community cultural education but require improvements in data quality, model interpretability, and the expansion of result application to maximize their technical support role. This study represents the first comprehensive and systematic application of data mining techniques in community cultural education research and decision-making, carrying great innovative value.