UMMS Affiliation

Department of Quantitative Health Sciences

Publication Date

10-8-2015

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

Link to article in PubMed

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.