Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm

Author:

Huang Xiuzhen,Jennings Steven F,Bruce Barry,Buchan Alison,Cai Liming,Chen Pengyin,Cramer Carole L,Guan Weihua,Hilgert Uwe KK,Jiang Hongmei,Li Zenglu,McClure Gail,McMullen Donald F,Nanduri Bindu,Perkins Andy,Rekepalli Bhanu,Salem Saeed,Specker Jennifer,Walker Karl,Wunsch Donald,Xiong Donghai,Zhang Shuzhong,Zhang Yu,Zhao Zhongming,Moore Jason H

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Genetics,Molecular Biology,Biochemistry

Reference11 articles.

1. The fourth paradigm: data-intensive scientific discovery, Tony Hey, Stewart Tansley and Kristin Tolle, Publisher: Microsoft Research, 1st ed. 2009.

2. NIH BD2K [ http://bd2k.nih.gov/ ], Big-Data to Knowledge (BD2K).

3. NSF BIGDATA. [ http://www.nsf.gov/cise/news/bigdata.jsp ], the program of Critical Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA).

4. NIH Bioinformatics definition. [ http://www.bisti.nih.gov/docs/CompuBioDef.pdf ]

5. E.g., ORACLE, SAS. [ http://www.oracle.com/us/technologies/big-data/index.html ]; [ http://www.sas.com/en_us/insights/big-data/what-is-big-data.html ]

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