Evolution of Business Intelligence: An Analysis from the Perspective of Social Network

Autor: Hanqing Hu, Mengyue Yin, Jianling Li
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Tehnički Vjesnik, Vol 29, Iss 2, Pp 497-503 (2022)
Druh dokumentu: article
ISSN: 1330-3651
1848-6339
DOI: 10.17559/TV-20210819071232
Popis: Based on CiteSpace, Pajek and other software, this paper makes a visual analysis of the knowledge graph of the related literature of Business Intelligence and explores the future development trend of business intelligence. Taking the core periodicals of CNKI as the data source, key words are drawn and analyzed with the help of software. The total number of articles was 2938 from 2006 to 2020, and the number of articles published in the past 15 years was gradually levelled off. Among the 607 researchers, Yang Bingru is the representative; there are 424 journals, Journal of Information is the first, and 787 keywords are the most frequently used data mining. Our country still needs in-depth research in the field of business intelligence. Through the atlas, it directly shows that big data and machine learning are the frontier hot spots of future development, which provides research direction for researchers.
Databáze: Directory of Open Access Journals