UMMS Affiliation
Department of Quantitative Health Sciences
Publication Date
2015-10-08
Document Type
Article Postprint
Disciplines
Bioinformatics | Computer Engineering | Databases and Information Systems | Genomics | Numerical Analysis and Scientific Computing
Abstract
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.
Keywords
Big data, Bioinformatics, Business, Data visualization, Genomics, Medical services, Research and development
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
10.1109/MNET.2015.7293298
Source
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
Journal/Book/Conference Title
IEEE Network
PubMed ID
26504265
Related Resources
Repository Citation
Fang, Hua (Julia); Zhang, Zhaoyang; Wang, Chanpaul Jin; Daneshmand, Mahmoud; Wang, Chonggang; and Wang, Honggang, "A survey of big data research" (2015). Quantitative Health Sciences Publications and Presentations. 1153.
https://escholarship.umassmed.edu/qhs_pp/1153
Included in
Bioinformatics Commons, Computer Engineering Commons, Databases and Information Systems Commons, Genomics Commons, Numerical Analysis and Scientific Computing Commons
