The Paradoxes of Big Data

Xin Xing Liu; Xing Wu; Shu Ji Dai

doi:10.4028/www.scientific.net/AMM.743.603

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 743The Paradoxes of Big Data

The Paradoxes of Big Data

Abstract:

The era of Big Data poses a big challenge to our way of living and thinking. Big Data refers to things which can do at a large scale but cannot be done at a smaller size. There are many paradoxes of Big Data: In this new world far more data can be analyzed, though using all the data can make the datum messy and lose some accuracy, sometimes reach better conclusions. As massive quantities of information produced by and about people and their interactions exposed on the Internet, will large scale search and analyze data help people create better services, goods and tools or it just lead to privacy incursions and invasive marketing In this article, we offer three main provocations, based on our analysis we have constructed some models to help explain the amazing contradiction in Big Data.

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Periodical:

Applied Mechanics and Materials (Volume 743)

Pages:

603-606

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.743.603

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Online since:

March 2015

Authors:

Xin Xing Liu, Xing Wu*, Shu Ji Dai

Keywords:

Accuracy, Big Data, Messy, Paradoxes, Prediction, Privacy Incursions, Scale

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