About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I

Research Article

Risk Prediction Pattern Matching Method of Construction Project Management System in Big Data Era

Download(Requires a free EAI acccount)
5 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-67871-5_37,
        author={Qiu-yi Li},
        title={Risk Prediction Pattern Matching Method of Construction Project Management System in Big Data Era},
        proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2021},
        month={2},
        keywords={Big data era Construction engineering Project management system Risk prediction model},
        doi={10.1007/978-3-030-67871-5_37}
    }
    
  • Qiu-yi Li
    Year: 2021
    Risk Prediction Pattern Matching Method of Construction Project Management System in Big Data Era
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-67871-5_37
Qiu-yi Li1,*
  • 1: Fuzhou University of International Studies and Trade
*Contact email: lqy13799475957@163.com

Abstract

In view of the influence of the scale of pattern information set on the pattern matching of risk prediction, aiming at improving the performance of pattern matching of risk prediction, this paper puts forward the method of pattern matching of risk prediction of construction project management system in the era of big data. In the era of big data, the central idea of risk prediction pattern matching algorithm is analyzed. Based on the description of risk prediction pattern matching algorithm, the specific implementation steps of risk prediction pattern matching algorithm are designed, the design of risk prediction pattern matching algorithm is completed, and the risk prediction pattern matching process of construction project management system is combined to achieve the risk prediction pattern matching. The experimental results show that, under different experimental platforms, compared with other risk prediction pattern matching methods, the accuracy of risk prediction pattern matching method of construction project management system in the era of big data is higher.

Keywords
Big data era Construction engineering Project management system Risk prediction model
Published
2021-02-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67871-5_37
Copyright © 2020–2025 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