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Ting Zhu 1 and Qingquan Zhang 1 and Sheng Xiao 2 and Yu Gu 3 and Ping Yi 4 and Yanhua Li 5
1, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
2, Hunan University, Changsha, Hunan 410082, China
3, IBM Research, Austin, TX 78758, USA
4, Shanghai Jiao Tong University, Shanghai 200240, China
5, University of Minnesota, Twin Cities, Minneapolis, MN 55416, USA
Received 21 May 2015; Accepted 21 May 2015; 7 October 2015
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.
With the exponential increasing number of data generating devices, such as computers, smart phones, tablets, and sensors, the vast amount of data to be processed, that is, "big data," has become an important concern. The utilization of big data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately the whole society. This special issue provides a leading forum for disseminating the latest research in big data research, development, and applications in future sensing. This journal set out to publish topics devoted to this special issue, which solicits high-quality original research papers (including surveys and reviews) in sensing aspect of big data with emphasis on 5Vs (Volume, Velocity, Variety, Value, and Veracity) big data science and foundations, big data infrastructure, big data management, big data searching and mining, big data privacy/security, and big data applications in sensing. The result is a collection of nine outstanding articles submitted by investigators representing fifteen institutions across Asia, Europe, and...