Research on Economic Value Evaluation of Data Analysis

被引:0
作者
Sun, Tieshuang [1 ]
机构
[1] Lanzhou Univ Technol, Sch Econ & Management, Lanzhou, Peoples R China
来源
2021 2ND INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2021) | 2021年
关键词
Data analysis; Economic value; Evaluation method; Information entropy; Bayesian method;
D O I
10.1109/ICBASE53849.2021.00033
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Data analysis is an indispensable part for us to make inferences and decisions. Its key is to discover information that is of economic value to us from various complex data, further enhance our understanding of things, and then make Scientific and effective decision-making. This article uses information entropy and Bayesian methods to analyze the factors that affect the economic value of data analysis based on the mastery of the relevant theories of data analysis and the status quo of the relevant industries of data analysis. Through direct calculation of the economic value of data analysis and indirect calculation of information entropy, the economic value of data analysis can be reflected, so that people can more clearly judge the economic value of data analysis.
引用
收藏
页码:136 / 139
页数:4
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