Phenomenon and Essence: Cognitive Path Investigation and Mathematical Value Analysis of Big Data

Tianli Jia; Yang Mei; Ke Jia

doi:10.47297/wspiedWSP2516-250012.20220606

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Phenomenon and Essence: Cognitive Path Investigation and Mathematical Value Analysis of Big Data

Volume 6, Issue 6

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Phenomenon and Essence: Cognitive Path Investigation and Mathematical Value Analysis of Big Data
Phenomenon and Essence: Cognitive Path Investigation and Mathematical Value Analysis of Big Data
1. Chengdu Jincheng College,Chengdu,P. R. China,611731
2. Mianyang Teachers’ College,Mianyang,P. R. China,621000
3. Chengdu University of Information Engineering,Chengdu,P. R. China,610225
Vol. 6, Issue 6, Pages: 53-58(2022)
Published： 2022 ，
DOI：10.47297/wspiedWSP2516-250012.20220606
Accepted：

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TIANLI JIA, YANG MEI, KE JIA. Phenomenon and Essence: Cognitive Path Investigation and Mathematical Value Analysis of Big Data. [J]. Journal of international education and development, 2022, 6(6): 53-58.
DOI：

TIANLI JIA, YANG MEI, KE JIA. Phenomenon and Essence: Cognitive Path Investigation and Mathematical Value Analysis of Big Data. [J]. Journal of international education and development, 2022, 6(6): 53-58. DOI： 10.47297/wspiedWSP2516-250012.20220606.

摘要

Abstract

Big data causes changes of human epistemology

brings new questions and new challenges to traditional scientific epistemology. In the era of big data

there are some problems in various fields of scientific research and practice

such as low requirements for mathematics

unclear understanding of the role of mathematics in big data analysis

and low cognition of new mode of knowledge origination from "science begins with data"

and etc.. As a result

this paper puts forward a new big data epistemological innovation point of view

researches the relationship between cognitive path and mathematical value under big data perspective

big data thinking cognitive path

mathematical philosophy foundation for big data

big data world view revolution

unification of "technical reason" and "human value" in big data context

mathematics application in big data dimension reduction technique

and other problems. In new technology environment

big data brings changes of cognition

to promote modern scientific research theory and big data practical system construction has positive effect and is very important.

关键词

Keywords

Big dataBig data thinkingIsomorphic relationsCognitive pathMathematical value

references

P. Humphreys. The Philosophical Novelty of Computer Simulation Methods. Synthese, 2009, 169(3): 615-26.[2] D. Bailer-Jones, C. Bailer-Jones. Modellingdata: Analogies in Neural Networks, Simulated Annealing and Genetic Algorithms. InL. Magnani (ed.), Model-based Reasoning: Science, Tech-nology, Values. Dordrecht: Kluwer-Academic: 147-65.[3] H. Q. Hou, L. Yao, Y. He. A Study on the Impacting Factors of Enterprise Marketing Dynamic Capabilities in the Context of Big Data. Journal of Xi'an Shiyou University (Social Science Edition), Issue 2, 2019.[4] V. Mayer-Schonberger, Kenneth Cukier. Bigdata: a revolution that will transform how we live, work, and think.Houghton Mifflin Harcourt,2013.[5] C. Anderson. The End of Theory: The Data Deluge Makes the Sci-entific Method Obsolete. Wired, 2008(6):16.[6] B. Franks. Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series). Houston: Wiley; 1 edition, 2013.[7] P. J. Dai, X. B. Ding, Q. H. Wang. Dimension reduction based linear surrogate variable approach for model free variable selection. Journal of Statistical Planning & Inference, Volume 169, 2016(2)13-26.

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