数据挖掘技术在经济统计中的应用研究

期刊: 统计与应用研究 DOI: PDF下载

胡会

湖北师范大学

摘要

随着经济的高速发展,我国国民生产总值也实现了跨越式增长,社会经济活动是由不同经济因素共同作用的经济关系整体,经济运行结构也已经超出了人脑理解和分析的领域。因此,要分析技术对经济体系的影响,并对其展开深度解读和整合。其中,数据挖掘技术的应用范围最广。本文对数据挖掘技术的内涵和优势进行了集中分析,并有效阐释了数据挖掘技术在经济统计中的应用路径,旨在为研究部门提供更加直观的数据分析结果和技术建议。 With the rapid development of economy, China's gross national product has also achieved leapfrog growth. Social and economic activities are the whole of economic relations affected by different economic factors, and the economic operation structure has gone beyond the field of human brain understanding and analysis. Therefore, it is necessary to analyze the impact of technology on the economic system, and carry out in-depth interpretation and integration. Among them, data mining technology is the most widely used. This paper focuses on the connotation and advantages of data mining technology, and effectively explains the application path of data mining technology in economic statistics, aiming to provide more intuitive data analysis results and technical suggestions for research departments.


关键词

数据挖掘技术;经济统计;优势;应用

正文

  • 随着经济的高速发展,我国国民生产总值也实现了跨越式增长,社会经济活动是由不同经济因素共同作用的经济关系整体,经济运行结构也已经超出了人脑理解和分析的领域。因此,要分析技术对经济体系的影响,并对其展开深度解读和整合。其中,数据挖掘技术的应用范围最广。本文对数据挖掘技术的内涵和优势进行了集中分析,并有效阐释了数据挖掘技术在经济统计中的应用路径,旨在为研究部门提供更加直观的数据分析结果和技术建议。

  • With the rapid development of economy, China's gross national product has also achieved leapfrog growth. Social and economic activities are the whole of economic relations affected by different economic factors, and the economic operation structure has gone beyond the field of human brain understanding and analysis. Therefore, it is necessary to analyze the impact of technology on the economic system, and carry out in-depth interpretation and integration. Among them, data mining technology is the most widely used. This paper focuses on the connotation and advantages of data mining technology, and effectively explains the application path of data mining technology in economic statistics, aiming to provide more intuitive data analysis results and technical suggestions for research departments.


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