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Editorial for IEEE access special section on theoretical foundations for big data applications : challenges and opportunities

Yu, Shui, Wang, Chonggang, Liu, Ke and Zomaya, Albert Y 2016, Editorial for IEEE access special section on theoretical foundations for big data applications : challenges and opportunities, IEEE access, vol. 4, pp. 5730-5732, doi: 10.1109/ACCESS.2016.2605338.

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Title Editorial for IEEE access special section on theoretical foundations for big data applications : challenges and opportunities
Author(s) Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Wang, Chonggang
Liu, Ke
Zomaya, Albert Y
Journal name IEEE access
Volume number 4
Start page 5730
End page 5732
Total pages 3
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2016
ISSN 2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Summary Big data is one of the hottest research topics in science and technology communities, and it possesses a great application potential in every sector for our society, such as climate, economy, health, social science, and so on. Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, and manage. We can conclude that big data is still in its infancy stage, and we will face many unprecedented problems and challenges along the way of this unfolding chapter of human history.
Notes Included in Special Section in IEEE Access: Theoretical Foundations for Big Data Applications: Challenges and Opportunities
Language eng
DOI 10.1109/ACCESS.2016.2605338
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C4 Letter or note
ERA Research output type C Journal article
Copyright notice ©2016, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089900

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
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Created: Thu, 01 Dec 2016, 17:41:34 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.