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.
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.
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Included in Special Section in IEEE Access: Theoretical Foundations for Big Data Applications: Challenges and Opportunities
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