A Study on Creating Linkage Keys Using Pseudonymized Data for Estimating the De Facto Population 


Vol. 50,  No. 4, pp. 629-636, Apr.  2025
10.7840/kics.2025.50.4.629


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  Abstract

This study utilizes the concept of the "defacto population" based on the “Special Act for Support in Population Decline Areas” to propose methods for reducing the workload associated with large-scale data operations and the creation of linkage key information, thereby enhancing the accuracy of foundational data. The defacto population includes registered residents, transient residents, and foreign residents, and is measured monthly through the anonymized information combination. The research suggests a linkage key structure excluding time-series keys to efficiently combine data and presents alternative solutions to address issues with duplicate linkage keys. Aiming to improve the speed and efficiency of linkage key information, experiments confirm that the improved process is more effective than traditional methods. This research will be useful as fundamental data for precisely understanding regional population activity and formulating policies to counteract regional decline.

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  Cite this article

[IEEE Style]

S. Lee and Y. Shin, "A Study on Creating Linkage Keys Using Pseudonymized Data for Estimating the De Facto Population," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 4, pp. 629-636, 2025. DOI: 10.7840/kics.2025.50.4.629.

[ACM Style]

Sumi Lee and Yongtae Shin. 2025. A Study on Creating Linkage Keys Using Pseudonymized Data for Estimating the De Facto Population. The Journal of Korean Institute of Communications and Information Sciences, 50, 4, (2025), 629-636. DOI: 10.7840/kics.2025.50.4.629.

[KICS Style]

Sumi Lee and Yongtae Shin, "A Study on Creating Linkage Keys Using Pseudonymized Data for Estimating the De Facto Population," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 4, pp. 629-636, 4. 2025. (https://doi.org/10.7840/kics.2025.50.4.629)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880