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
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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