Research on digital management method of market information based on fusion information

Jing Li and Ming Yan

International Journal of Information Technology and Management, 2022, vol. 21, issue 2/3, 264-279

Abstract: In order to overcome the problems of low management efficiency and long management execution period of traditional market information management methods, this paper proposes a digital management method of market information based on fusion information. Firstly, the original market information is counted, and the chart information and literature information in the original market information are digitised. By then calculating the similarity of market information, the digital information is clustered and fused. Based on the results of clustering and fusion of digital information, the market information management database is constructed, and the comprehensive digital management of market information is realised from the aspects of confidentiality management, authority management, literature information management and so on. The experimental results show that the management efficiency of this method is always over 96%, and the management efficiency is the highest; the management execution cycle is between 1.4 min to 1.9 min, and the management cycle is the shortest.

Keywords: fusion information; market information; digital information; information management methods. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=123405 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:264-279

Access Statistics for this article

More articles in International Journal of Information Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().