Understanding big data themes from scientific biomedical literature through topic modeling-Reference-Cited by-同舟云学术

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Understanding big data themes from scientific biomedical literature through topic modeling

Published:2016-11-15 Issue:1 Volume:3 Page:
ISSN:2196-1115
Container-title:Journal of Big Data
language:en
Short-container-title:J Big Data

Author:

van Altena Allard J.,Moerland Perry D.,Zwinderman Aeilko H.,Olabarriaga Sílvia D.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Link

http://link.springer.com/content/pdf/10.1186/s40537-016-0057-0.pdf

Reference54 articles.

1. Fenn J, LeHong H. Hype cycle for emerging technologies, 2011. Stamford: Gartner; 2011.

2. Google: Google Trends. https://www.google.com/trends/explore#q=big+data . Accessed 28 Mar 2016.

3. Andreu-Perez J, Poon CC, Merrifield RD, Wong ST, Yang G-Z. Big data for health. IEEE J Biomed Health Inform. 2015;19(4):1193–208. doi: 10.1109/JBHI.2015.2450362 .

4. Gartner: Gartner Acquisitions. http://www.gartner.com/technology/about/acquisition_history.jsp . Accessed 27 Mar 2016.

5. Laney D. 3D data management: controlling data volume, velocity and variety. META Group Res Note. 2001;6:70.

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