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Jin Young Choi 0004

dblp:30/1428-4 · also Jin-Young Choi 0004 · DBLP profile ↗
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3ranked-venue papers in the field
1as first author
3since 2021 · last 2022
—ORCID · none

Domains — venue-derived; a paper can count in several

Big Data, Cloud & Distributed Data Systems · 3 (1 first)
YearPublicationVenuePosition
2022 Data Mining Approach to determine injured Area of the Construction Worker using Accident Loss Cost
abstract
Since its launch in 2000, the Smart Construction R&D Group, a large nation-led construction R&D group, has focused on the practical use and field application of development technology to promote digital transformation of construction projects and help companies enter global market based on accumulated digital capabilities.
Jin Young Choi 0004, Eun-Ju Ha
 IEEE Big Data1
2022 Data Mining Approach for Predicting the Fall Accident Cost in Construction Projects
abstract
The method for predicting construction accident cost developed so far classified the total accident cost into the direct loss cost and indirect loss cost, and use the ratio between the costs to determine indirect cost, which is relatively hard to calculate.
Eun-Ju Ha, Jin Young Choi 0004
 IEEE Big Data2
2021 Data Mining Approach for Characterizing Construction Accidents
abstract
In Korea, the domestic construction industry accounts for only 15.4% of the total number of workers in all industries as of 2018, but the number of accidents in construction industry took 27.6% (27,686), and the death toll was 570, the highest among all industries.
Jin Young Choi 0004, Eun-Ju Ha
 IEEE BigData2