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Evolution of Business Intelligence: An Analysis from the Perspective of Social Network  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

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

作者:Hu, Hanqing[1];Yin, Mengyue[1];Li, Jianling[2]

第一作者:Hu, Hanqing

通讯作者:Li, JL[1]

机构:[1]Beijing Informat Sci & Technol Univ, 12 Xiaoying East Rd,Xisanqi St, Beijing 100192, Peoples R China;[2]Beijing Union Univ, Business Coll, A3 Yanjingdongli, Beijing 100025, Peoples R China

第一机构:Beijing Informat Sci & Technol Univ, 12 Xiaoying East Rd,Xisanqi St, Beijing 100192, Peoples R China

通讯机构:[1]corresponding author), Beijing Union Univ, Business Coll, A3 Yanjingdongli, Beijing 100025, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份:2022

卷号:29

期号:2

起止页码:497-503

外文期刊名:TEHNICKI VJESNIK-TECHNICAL GAZETTE

收录:;EI(收录号:20220911706817);Scopus(收录号:2-s2.0-85125077828);WOS:【SCI-EXPANDED(收录号:WOS:000759852300018)】;

基金:(1) Beijing Municipal Social Science Foundation key project, 18YJA003.; (2) Top-notch plan project for strengthening schools with talents, BPHR2020BS01.; (3) A series of research projects of the service center of China Association for Science and Technology, 2020GGFWZLTS005.; (4) Graduate Course construction project of Beijing Information Science & Technology University, 5027011033.; (5) Teaching Reform Project of Beijing Information Science & Technology University, 5112110857.

语种:英文

外文关键词:Business Intelligence; Knowledge Atlas; Research Status; Social Network Analysis

摘要: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.

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