Department of Quantitative Health Sciences
Bioinformatics | Computer Engineering | Databases and Information Systems | Genomics | Numerical Analysis and Scientific Computing
Big data create values for business and research, but pose significant challenges in terms of networking, storage, management, analytics, and ethics. Multidisciplinary collaborations from engineers, computer scientists, statisticians, and social scientists are needed to tackle, discover, and understand big data. This survey presents an overview of big data initiatives, technologies, and research in industries and academia, and discusses challenges and potential solutions.
Big data, Bioinformatics, Business, Data visualization, Genomics, Medical services, Research and development, UMCCTS funding
Rights and Permissions
© 2015 IEEE. Accepted manuscript posted as allowed by the publisher's author rights policy at http://www.ieee.org/publications_standards/publications/rights/rights_policies.html.
DOI of Published Version
Fang H, Zhang Z, Wang CJ, Daneshmand M, Wang C, Wang H. A survey of big data research. IEEE Netw. 2015 Sep-Oct;29(5):6-9. PubMed PMID: 26504265; PubMed Central PMCID: PMC4617656. doi: 10.1109/MNET.2015.7293298. Link to article on publisher's website
Fang, Hua (Julia); Zhang, Zhaoyang; Wang, Chanpaul Jin; Daneshmand, Mahmoud; Wang, Chonggang; and Wang, Honggang, "A survey of big data research" (2015). Population and Quantitative Health Sciences Publications. 1153.