Correlation analysis and causal analysis in the era of big data

被引：8

作者：

Xu Gejingting ^{[1
]}

Jiang Ruiqiong ^{[2
]}

Wei Wei ^{[2
]}

Jiang Libao ^{[1
]}

Yue Zhenjun ^{[1
]}

机构：

[1] Army Engn Univ PLA, Coll Commun Engn, Chongqing, Peoples R China

[2] PLA, 1106 Troops, Beijing, Peoples R China

来源：

2019 INTERNATIONAL CONFERENCE ON ADVANCED ELECTRONIC MATERIALS, COMPUTERS AND MATERIALS ENGINEERING (AEMCME 2019) | 2019年 / 563卷

关键词：

D O I：

10.1088/1757-899X/563/4/042032

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Based on the essence of correlation analysis, this paper studies the difference and relation between correlation analysis and causal analysis. It points out that in the era of big data, correlation analysis and causal analysis are different aspects of the analysis of things. They are neither antagonistic nor mutually replaceable but a dependency. Big data provides better and more powerful functions for correlation analysis. Correlation analysis provides direction and verification path for causal analysis. Causal analysis provides deep support for correlation analysis. Studying the application methods of correlation analysis and causal analysis under the condition of big data.

引用

页数：5

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