- Title
- The spectrum of big data analytics
- Creator
- Sun, Zhaohao; Huo, Yanxia
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/178617
- Identifier
- vital:15450
- Identifier
-
https://doi.org/10.1080/08874417.2019.1571456
- Identifier
- ISBN:0887-4417 (ISSN)
- Abstract
- Big data analytics is playing a pivotal role in big data, artificial intelligence, management, governance, and society with the dramatic development of big data, analytics, artificial intelligence. However, what is the spectrum of big data analytics and how to develop the spectrum are still a fundamental issue in the academic community. This article addresses these issues by presenting a big data derived small data approach. It then uses the proposed approach to analyze the top 150 profiles of Google Scholar, including big data analytics as one research field and proposes a spectrum of big data analytics. The spectrum of big data analytics mainly includes data mining, machine learning, data science and systems, artificial intelligence, distributed computing and systems, and cloud computing, taking into account degree of importance. The proposed approach and findings will generalize to other researchers and practitioners of big data analytics, machine learning, artificial intelligence, and data science. © 2019 International Association for Computer Information Systems.
- Publisher
- Bellwether Publishing, Ltd.
- Relation
- Journal of Computer Information Systems Vol. 61, no. 2 (2021), p. 154-162
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2019 International Association for Computer Information Systems
- Rights
- Open Access
- Subject
- 0806 Information Systems; 1503 Business and Management; Artificial intelligence; Big data; Big data analytics; Data science; Machine learning
- Full Text
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