Thoughts on the Problem of Small Data

Marked by Viktor Mayer-Schönberger's "Big Data: A Revolution That Will Transform How We Live, Work, and Think", Big Data swept across the major subject areas, changing human thinking and behavior. When big data is so hot, "small data" has begun to attract the attention of al...

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Published inIOP conference series. Materials Science and Engineering Vol. 466; no. 1; pp. 12029 - 12033
Main Authors Cheng, Jingtao, Chen, Wenhui, Gong, Yuhong
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 28.12.2018
Subjects
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ISSN1757-8981
1757-899X
1757-899X
DOI10.1088/1757-899X/466/1/012029

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Abstract Marked by Viktor Mayer-Schönberger's "Big Data: A Revolution That Will Transform How We Live, Work, and Think", Big Data swept across the major subject areas, changing human thinking and behavior. When big data is so hot, "small data" has begun to attract the attention of all sectors of society. Due to the high value of density, deep-level mining, single collection and other significant advantages, in many respects, the infinite value of "small data" is not inferior to big data. This paper focuses on the analysis of the connotation, application and development prospects of "small data", and compares it with "big data", creating a certain reference value for the development and research of small data.
AbstractList Marked by Viktor Mayer-Schönberger's "Big Data: A Revolution That Will Transform How We Live, Work, and Think", Big Data swept across the major subject areas, changing human thinking and behavior. When big data is so hot, "small data" has begun to attract the attention of all sectors of society. Due to the high value of density, deep-level mining, single collection and other significant advantages, in many respects, the infinite value of "small data" is not inferior to big data. This paper focuses on the analysis of the connotation, application and development prospects of "small data", and compares it with "big data", creating a certain reference value for the development and research of small data.
Author Gong, Yuhong
Chen, Wenhui
Cheng, Jingtao
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Cites_doi 10.1109/MIC.2015.136
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Li JC (2) 2018; 2
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Li JC (3) 2017; 11
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Chen LF (4) 2016; 3
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