IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8804756.html
   My bibliography  Save this article

Dynamic Modeling and Analysis of Innovative Development Model and Ideological and Political Education Based on Big Data

Author

Listed:
  • Xiaomei Xie
  • Baiyuan Ding

Abstract

With the increasing number of college students, the difficulty and workload of ideological and political education are also increasing. For the calculation and analysis of big data, it is most suitable to use data mining algorithm for calculation and research. In order to help college students' ideological and political education to develop and innovate, this paper establishes a new model of college students’ ideological and political education combined with particle swarm optimization algorithm to help carry out college students’ ideological and political education. The particle swarm optimization algorithm is tested. Therefore, this paper uses data mining algorithm to calculate and analyze the research in this paper. The algorithm is tested and analyzed. Through the test of data mining algorithm, the calculation accuracy of the algorithm is proved, and the feasibility of this paper is proved. This paper studies the ideological and political education by using data mining algorithm. The computational efficiency of the optimized data mining algorithm is twice that of the traditional algorithm, and the optimized algorithm has also been significantly improved. In general, the data mining algorithm optimized in this paper is reasonable, which can improve the calculation accuracy and efficiency of the algorithm.

Suggested Citation

  • Xiaomei Xie & Baiyuan Ding, 2022. "Dynamic Modeling and Analysis of Innovative Development Model and Ideological and Political Education Based on Big Data," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, September.
    • Handle: RePEc:hin:jnlmpe:8804756
    DOI: 10.1155/2022/8804756
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/8804756.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/8804756.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/8804756?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:8804756. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.