Complexity problems handled by big data technology

Lv, Zhihan, Ota, Kaoru, Lloret, Jaime, Xiang, Wei, and Bellavista, Paolo (2019) Complexity problems handled by big data technology. Complexity, 2019. 9090528.

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DOI: 10.1155/2019/9090528

View at Publisher Website: https://doi.org/10.1155/2019/9090528

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Abstract

[Extract] Big data needs new processing modes to own stronger decision-making power, insight discovery, the large volume and high growth of process optimization ability, and the diversified information assets. As the information technology of a new generation based on Internet of Things, cloud computing, and mobile internet, big data realizes the record and collection of all data produced in the whole life cycle of the existence and evolutionary process of things. It starts from the angle of completely expressing a thing and a system to express the coupling relationship between things. When the data of panorama and whole life cycle is big enough and the system component structure and the static data and dynamic data of each individual are recorded, the big data can integrally depict the complicated system and the emerging phenomena.


Item ID:	57040
Item Type:	Article (Editorial)
ISSN:	1099-0526
Keywords:	big data, complexity, processing, technology
Copyright Information:	Copyright © 2019 Zhihan Lv et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Date Deposited:	06 Feb 2019 07:50
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50% 08 INFORMATION AND COMPUTING SCIENCES > 0804 Data Format > 080403 Data Structures @ 50%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
Downloads:	Total: 869 Last 12 Months: 93
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