Editorial for IEEE Access Special Section on Theoretical Foundations for Big Data Applications: Challenges and Opportunities
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 comm...
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| Veröffentlicht in: | IEEE access 2016, Vol.4, p.5730-5732 |
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| creator | Yu, Shui Wang, Chonggang Liu, Ke Zomaya, Albert Y. |
| description | 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. |
| doi_str_mv | 10.1109/ACCESS.2016.2605338 |
| format | Article |
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| ispartof | IEEE access, 2016, Vol.4, p.5730-5732 |
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| language | eng |
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| source | DOAJ Directory of Open Access Journals; IEEE Xplore Open Access Journals; EZB Electronic Journals Library |
| subjects | Big Data Data analysis Database systems Meteorology Software Software development tools Software tools Special issues and sections |
| title | Editorial for IEEE Access Special Section on Theoretical Foundations for Big Data Applications: Challenges and Opportunities |
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