中国标准化Issue(5)：66-71,6.DOI:10.3969/j.issn.1002-5944.2024.05.009
法人和其他组织统一社会信用代码数据国民经济行业数据质量提升方法研究
Research on the Method of Improving the Quality of Unified Social Credit Identifier Data and Industrial Data of National Economic Activities of Legal Entities and Other Organizations
摘要
Abstract
In the process of national economic industry analysis,the data of Unified social credit code of legal entities and other organizations plays a vital role.It is the basis of industrial and statistical analysis,the quality of which also directly affect the accuracy of analysis results.Taking data quality improvement as the starting point,this paper first accurately identifies data quality problems,then builds a hybrid automation industrial Classification model,and proposes a normalized standardized process mechanism for continuous improvement of data quality.This strategy not only provides a continuous and iterative improvement mechanism,but also provides a more solid and reliable data guarantee for the data analysis of the national economic activities.关键词
统一社会信用代码/国民经济/自动化行业分类模型/数据质量提升Key words
unified social credit identifier/national economy/automated industrial classification model/data quality improvement引用本文复制引用
赵捷,袁辉,邓祥武,宫政,司琳华,金江..法人和其他组织统一社会信用代码数据国民经济行业数据质量提升方法研究[J].中国标准化,2024,(5):66-71,6.基金项目
本文受国家市场监督管理总局科技计划项目"基于深度学习技术的法人和其他组织国民经济行业分类机器判定研究"(项目编号:2020MK185)资助. （项目编号:2020MK185）
