| Literature DB >> 26504265 |
Hua Fang1, Zhaoyang Zhang2, Chanpaul Jin Wang2, Mahmoud Daneshmand3, Chonggang Wang4, Honggang Wang5.
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.Entities:
Year: 2015 PMID: 26504265 PMCID: PMC4617656 DOI: 10.1109/MNET.2015.7293298
Source DB: PubMed Journal: IEEE Netw ISSN: 0890-8044 Impact factor: 10.693