Big data need physical ideas and methods

TL;DR

This paper advocates for applying physical ideas and methods to big data analysis to reduce reliance on potentially misleading statistical techniques and improve the development and application of big data.

Contribution

It introduces the novel approach of integrating physical ideas into big data analysis to address limitations of traditional statistical methods.

Findings

Physical ideas can improve big data analysis accuracy

Methodology promotes more realistic data interpretation

Enhances the development of big data applications

Abstract

If a person looks at WHITE paper through BLUE glasses, the paper will become BLUE in the eye of the person. Likewise, in the current study of big data which play the same role as the white paper being looked at, various statistical methods just serve as the blue glasses. That is, results obtained from big data often depend on the statistical methods in use, which may often defy reality. Here I suggest using physical ideas and methods to overcome this problem to the greatest extent. This suggestion is helpful to development and application of big data.