Funder
China Postdoctoral Science Foundation Special Funded Project
China Postdoctoral Science Foundation Funded Project
Wuhan University Initiative Scientific Research Project
Kent State University 2014 Postdoctoral Program for the Smart Big Data project
National Natural Science Foundation of China Funded Project
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Reference61 articles.
1. Agrawal, D., & Chawla, S. (2015). The Big Data landscape: Hurdles and opportunities. In W. Chu, S. Kikuchi & S. Bhalla (Eds.), Databases in networked information systems (pp. 1–11).
2. Al-Jarrah, O. Y., Yoo, P. D., Muhaidat, S., Karagiannidis, G. K., & Taha, K. (2015). Efficient machine learning for Big Data: A review. Big Data Research, 2(3), 87–93.
3. Bardi, M., Zhou, X., Li, S., & Lin, F. (2014). Big Data security and privacy: A review. China Communications, 11(2), 135–145.
4. Birnbaum, P. H. (1981). Academic interdisciplinary research: Characteristics of successful projects. Journal of the Society of Research Administrators, 13, 5–16.
5. Bjurström, A., & Polk, M. (2011). Climate change and interdisciplinarity: A co-citation analysis of IPCC third assessment report. Scientometrics, 87, 525–550.
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