Classifying apartment defect repair tasks in South Korea: a machine learning approach-Reference-Cited by-同舟云学术

Classifying apartment defect repair tasks in South Korea: a machine learning approach

Published:2021-10-19 Issue: Volume: Page:1-8
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Kim Eunhye¹²,Ji Honggeun¹³,Kim Jina¹³,Park Eunil¹

Affiliation:

1. College of Computing, Sungkyunkwan University, Seoul, Korea

2. Institute of Construction Technology, Daewoo Institute of Construction Technology, Seoul, Korea

3. AI Team, Raon Data, Seoul, Korea

Funder

Ministry of Science and ICT (MSIT), Korea, under the ICT Challenge and Advanced Network of HRD (ICAN) program

Korea Agency for Infrastructure Technology Advancement

Ministry of Land, Infrastructure and Transport

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13467581.2021.1972808

Reference27 articles.

1. A workflow model for systems and interior finishing works in building construction

2. Consumer News. 2021. “[Consumer Complaint Assessment - Construction] A Number of Complaints Concerning Contracts, Defects, and Services.” [Online]. Accessed 10 June 2021. http://www.consumernews.co.kr/news/articleView.html?idxno=627935

3. Verification of a building defect classification system for housing

4. The Housing Construction Supply Division in South Korea. 2013. “Apartment Defect Dispute Mediation Committee.” [Online]. Accessed 18 November 2020. http://www.adc.go.kr/

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