Big data analytics and machine learning: A retrospective overview and bibliometric analysis

作者：

Highlights：

• A bibliometric study of big data analytics and machine learning.

• A sample of 2160 articles from the Scopus for the period 2006–2020 is analyzed.

• Five clusters of publications are classified.

• Cluster 1 is dominant in the Information Systems publication landscape.

• Cluster 5 indicates saturation and the need for inter-disciplinary studies.

摘要

•A bibliometric study of big data analytics and machine learning.•A sample of 2160 articles from the Scopus for the period 2006–2020 is analyzed.•Five clusters of publications are classified.•Cluster 1 is dominant in the Information Systems publication landscape.•Cluster 5 indicates saturation and the need for inter-disciplinary studies.

论文关键词：Big data,Machine learning,Bibliometric analysis,Thematic evolution,Network analysis

论文评审过程：Received 15 October 2020, Revised 17 May 2021, Accepted 3 July 2021, Available online 9 July 2021, Version of Record 15 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115561