The statistical analysis in the era of big data
by Zelin Wang; Xinke Liu; Weiye Zhang; Yingying Zhi; Shi Cheng
International Journal of Modelling, Identification and Control (IJMIC), Vol. 40, No. 2, 2022

Abstract: In the big data environment, the traditional machine learning algorithm for data processing is somewhat inadequate. Therefore, machine learning algorithms adapted to big data environment have become a research hotspot. At the time of the marriage of big data and machine learning, it is necessary to predict the related challenges and opportunities. This paper mainly analyses and summarises the current research status of machine learning algorithms for processing big data, and discusses the new opportunities and challenges that machine learning paradigm will face in the era of big data. It also explores the new technology breakthrough that machine learning will produce in the era of big data.

Online publication date: Mon, 08-Aug-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com