Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)

How Accurate are Predictions Made Using Big Data?

Authors
Haohao Su3180887843@qq.com
Kings College Private High School, 1200 Leland Rd, Oshawa, ON L1K 2H5, Canada
Corresponding Author
Available Online 29 April 2022.
DOI
10.2991/aebmr.k.220405.135How to use a DOI?
Keywords
Big data; data analysis; big data applications
Abstract

Since the home computer phenomenally occurred in the 1980s, the methodology of information collecting has had a revolutionary improvement. There was a rapid increase in the number of sources of electronic information that are available to be collected. Big data is one of the consequences of these developments. Currently, it is widespreading and takes increasing roles, such as analysis and predicting. However, it is doubtful whether big data analysis is accurate or not. Therefore, this paper will concentrate on the accuracy of big data analysis and prediction with the following principles: the definition of big data, the standard of accurate big data, limitation of big data analysis, and possible future development.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 April 2022
ISBN
978-94-6239-572-5
ISSN
2352-5428
DOI
10.2991/aebmr.k.220405.135How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Haohao Su
PY  - 2022
DA  - 2022/04/29
TI  - How Accurate are Predictions Made Using Big Data?
BT  - Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)
PB  - Atlantis Press
SP  - 806
EP  - 810
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220405.135
DO  - 10.2991/aebmr.k.220405.135
ID  - Su2022
ER  -