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http://dx.doi.org/10.36498/kbigdt.2020.5.2.29

A Linked Analysis Method between Commercial district Information and Survey Information  

Lee, Won-Cheol (강원대학교 대학원 컴퓨터과학과)
Kang, Man-Su (서울신용보증재단 소상공인정책연구센터)
Kim, Jinho (강원대학교 대학원 컴퓨터과학과)
Publication Information
The Journal of Bigdata / v.5, no.2, 2020 , pp. 29-42 More about this Journal
Abstract
In Korea, micro-enterprises are in charge of an important part of the common people's economy, but face difficulties such as excessive competition, deteriorating profitability, and concentration of life-oriented industries. In order to solve this problem, the government is providing commercial district analysis services for micro-enterprises. However, the data provided by various organizations is not standardized, and there is a limit to the composition of the service with limited data. In this paper, we propose a method of solving the data consistency problem and linking and analyzing between questionnaire information and commercial district information to expand the data analysis service. The proposed linking methods are three methods: linking the commercial area information and questionnaire information in the same area based on the type of business and area, linking the survey information centered on individual micro-enterprise, and linking a small area of questionnaire information with a large area of commercial district information. The linked commercial district information and questionnaire information can be used in various ways or expanded analysis services. This proposed a method to overcome the limitations of existing commercial district analysis services with questionnaire information and lay the foundation for expanding the commercial district analysis services necessary for micro-enterprises.
Keywords
Micro-enterprises; Survey System; Survey information; Commercial District Information; Linked Analysis;
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  • Reference
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