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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I

Research Article

Boosting Algorithm and Its Application in Secondary Chemistry Data Mining

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-63130-6_5,
        author={Yingshuang Wu and Shijie Zhang and Yingshuang Wu and Rong Zhang},
        title={Boosting Algorithm and Its Application in Secondary Chemistry Data Mining},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I},
        proceedings_a={BIGIOT-EDU},
        year={2024},
        month={7},
        keywords={Boosting algorithm Chemical data mining Application},
        doi={10.1007/978-3-031-63130-6_5}
    }
    
  • Yingshuang Wu
    Shijie Zhang
    Yingshuang Wu
    Rong Zhang
    Year: 2024
    Boosting Algorithm and Its Application in Secondary Chemistry Data Mining
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-63130-6_5
Yingshuang Wu1,*, Shijie Zhang1, Yingshuang Wu1,*, Rong Zhang2
  • 1: College of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou
  • 2: Xingtai University, Xingtai
*Contact email: wuletttetu@163.com, wuletttetu@163.com

Abstract

In order to fundamentally improve the accuracy of data mining algorithm, efficiency and quality of the algorithm, the introduction of condition mode and depth priority strategy optimization data mining algorithm, please improve the data mining algorithm in various fields, by deleting invalid or using low frequency method to accelerate the resource positioning work, and improve the performance of the system resource positioning. This paper mainly combines the practical application of Boosting algorithm in middle school chemical data mining for in-depth analysis and discussion for reference.

Keywords
Boosting algorithm Chemical data mining Application
Published
2024-07-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-63130-6_5
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