Article ID: CBB158654943

Refining Big Data (2017)

unapi

Refining big data is a new multipurpose way to find, collect, and analyze information obtained from the web and off-line information sources about any research subject. It gives the opportunity to investigate (with an assumed level of statistical significance) the past and current status of information on a subject, and it can even predict the future. The refining of big data makes it possible to quantitatively investigate a wide spectrum of raw information on significant human issues—social, scientific, political, business, and others. Refining creates a space for new, rich sources of information and opens innovative ways for research. The article describes a procedure for refining big data and gives examples of its use.

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Authors & Contributors
Shi, Yong
James Stewart
Siibak, Andra
Huang, Guangyan
He, Jing
Estrin, Deborah
Journals
The Bridge: Journal of the National Academy of Engineering
Science, Technology and Human Values
IEEE Technology and Society Magazine
Acta Baltica historiae et philosophiae scientiarum
Publishers
University of Chicago Press
Oxford University Press
New York University Press
MIT Press
Houghton Mifflin Harcourt
Concepts
Technology and society
Big data
Information technology
Computers and computing
Computers--social aspects
Data collection; methods
Time Periods
21st century
20th century, late
Places
United States
Commonwealth countries
Latin America
Japan
Europe
European Union
Institutions
National Science Foundation (U.S.)
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