The Spectrum of Big Data Analytics

被引:18
作者
Sun, Zhaohao [1 ,2 ]
Huo, Yanxia [1 ]
机构
[1] PNG Univ Technol, Morobe, Guinea
[2] Federat Univ Australia, Ballarat, Vic, Australia
关键词
Big data; big data analytics; machine learning; artificial intelligence; data science; BUSINESS INTELLIGENCE;
D O I
10.1080/08874417.2019.1571456
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:154 / 162
页数:9
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