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论大数据思维的内涵及构成

彭知辉

情报杂志2019,Vol.38Issue(6):124-130,123,8.
情报杂志2019,Vol.38Issue(6):124-130,123,8.DOI:10.3969/j.issn.1002-1965.2019.06.019

论大数据思维的内涵及构成

On the Connotation and Composition of Big Data Thinking

彭知辉1

作者信息

  • 1. 中国人民公安大学侦查与反恐怖学院 北京100038
  • 折叠

摘要

Abstract

Although big data thinking has become a commonly used term,but how to understand it is not clear and accurate,so it is necessary to study it from a theoretical perspective. [Method/Process]In summary and analysis of existing academic research views,this paper expounds the connotation and composition of big data thinking. [Result/Conclusion]Big data thinking is a kind of thinking formed by analyzing and solving problems from the perspective of big data in the application of big data,which is composed of idea and mode of big data thinking. The ideas of big data thinking are the understanding of big data itself and its characteristics,values and functions,etc. The modes of big data thinking are mainly reflected in the categories,which include causality and correlation,accuracy and ambiguity,subjectivity and objectivity,subject and object,technology and humanity,the new and the old,big data and small data,etc.

关键词

大数据/大数据思维内涵/大数据思维观念/大数据思维方式/思维范畴

Key words

big data/the connotation of big data thinking/the ideas of big data thinking/the modes of big data thinking/the catego-ries of big data thinking

分类

社会科学

引用本文复制引用

彭知辉..论大数据思维的内涵及构成[J].情报杂志,2019,38(6):124-130,123,8.

基金项目

中央高校基本科研业务费专项资金资助"大数据思维研究:以公安情报工作为视角"(编号:2018JKF208)研究成果之一. (编号:2018JKF208)

情报杂志

OA北大核心CHSSCDCSSCICSTPCD

1002-1965

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