skip to main content
10.1145/3448748.3448990acmotherconferencesArticle/Chapter ViewAbstractPublication PagesbicConference Proceedingsconference-collections
research-article

Study on Dispatching Model of Block Economy Based-Data Mining

Published: 21 March 2021 Publication History

Abstract

Economic dispatch plays the most important role in the economic and stability of financial system operation. With the introduction of many intelligent management models in economic construction, the scale of collectible financial system data has shown an explosive growth trend. In the paper, a PSO-LSSVM data mining prediction model based on big data is established, and a block-based economic dispatch method is proposed to deal with financial risks. In the experiment, financial data is used as a sample to predict the actual risk curve. The results show that the risk prediction result obtained by the proposed prediction algorithm is closer to the actual risk. The validity of the model is explained, and the experimental results provide a decision-making basis for the economic dispatch of the financial system.

References

[1]
Wang Tong. About the application of data mining technology in economic statistics[J]. Research on Industrial Innovation. 2019(12)
[2]
Ma Changqing. Application of Data Mining Technology in Economic Statistics [J]. Modern Marketing (Business Edition). 2019(04)
[3]
Chen Yan, Ma Xingmin, Su Yuanyuan. Application of collaborative filtering recommendation system in personalized service of bank products[J]. Digital Communication World. 2018(06)
[4]
Tian Huizhe. On the evolution of financial functions and financial development [J]. Chinese and foreign entrepreneurs. 2020(04)
[5]
You Li. On the evolution of financial functions and analysis of financial development [J]. Market modernization. 2018(10)
[6]
Ma Xiuli. On the evolution of financial functions and financial development[J]. Chinese and foreign entrepreneurs. 2018(02)

Index Terms

  1. Study on Dispatching Model of Block Economy Based-Data Mining

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    BIC '21: Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing
    January 2021
    445 pages
    ISBN:9781450390002
    DOI:10.1145/3448748
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • University of Arizona: University of Arizona

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 March 2021

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. data mining
    2. dispatch mechanism
    3. economic model
    4. financial risk

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    BIC 2021

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 16
      Total Downloads
    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 20 Feb 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media