Big data concepts, theories, and applications

Yu, Shui and Guo, Song 2016, Big data concepts, theories, and applications. Edited by Yu, Shui and Guo, Song, Springer International Publishing, Cham, Switzerland, doi: 10.1007/978-3-319-27763-9.

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Title Big data concepts, theories, and applications
Author(s) Yu, ShuiORCID iD for Yu, Shui
Guo, Song
Editor(s) Yu, ShuiORCID iD for Yu, Shui
Guo, Song
Publication date 2016
Total pages 437
Publisher Springer International Publishing
Place of Publication Cham, Switzerland
Summary Big data is one of the hottest research topics in science and technology communities, and it possesses a great potential in every sector for our society, such as climate, economy, health, social science, and so on. Big data is currently treated as data sets with sizes beyond the ability of commonly used software tools to capture, curate, and manage. We have tasted the power of big data in various applications, such as finance, business, health, and so on. However, big data is still in her infancy stage, which is evidenced by its vague definition, limited application, unsolved security and privacy barriers for pervasive implementation, and so forth. It is certain that we will face many unprecedented problems and challenges along the way of this unfolding revolutionary chapter of human history.
ISBN 3319277618
Language eng
DOI 10.1007/978-3-319-27763-9
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category A7 Edited book
ERA Research output type A Book
Copyright notice ©2016, Springer International Publishing
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