About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9–10, 2022, Proceedings, Part I

Research Article

Deep Level Intelligent Mining Method of Online Education Decision Information in Economic Management

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_47,
        author={Jiajie Wang},
        title={Deep Level Intelligent Mining Method of Online Education Decision Information in Economic Management},
        proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2023},
        month={3},
        keywords={Economic management Online education Decision making information Deep level Educational objects Intelligent mining},
        doi={10.1007/978-3-031-21161-4_47}
    }
    
  • Jiajie Wang
    Year: 2023
    Deep Level Intelligent Mining Method of Online Education Decision Information in Economic Management
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_47
Jiajie Wang1,*
  • 1: University of Chinese Academy of Social Sciences
*Contact email: wang5217892021@126.com

Abstract

The conventional economic management online education decision-making information deep-level intelligent mining method has the problem of fuzzy characteristics of decision-making information, resulting in a long mining time. A new economic management online education decision-making information deep-level intelligent mining method is designed. Combined with the scores in the school online education database, collect the economic management discipline information, define the class density function, extract the hierarchical characteristics of decision-making information, divide the online education types, use the learners’ satisfaction to explain the continuous learning behavior, and design a deep-seated intelligent mining method according to the specific situation of the model to be mined. Experimental results: the mining time of the deep-level intelligent mining method of economic management online education decision information in this paper and the other two deep-level intelligent mining methods are 17.168 s, 17.372 s and 10.306 s respectively, which shows that the designed deep-level intelligent mining method of economic management online education decision information has better performance.

Keywords
Economic management Online education Decision making information Deep level Educational objects Intelligent mining
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_47
Copyright © 2022–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL