Current State and Future Opportunities of Data Mining for Construction 4.0

摘要

Current State and Future Opportunities of Data Mining for Construction 4.0 Keyi Wu and Borja García de Soto Pages 78-85 (2022 Proceedings of the 39th ISARC, Bogotá, Colombia, ISBN 978-952-69524-2-0, ISSN 2413-5844) Abstract: In the context of Construction 4.0, the data-intensive nature of the AEC/FM industry puts data-related issues at its core. The powerful ability of data mining to process and utilize data makes it the preferred option for solving data-related problems. Currently, there is no summary of data mining applications in terms of Construction 4.0. To figure out the current state and future opportunities of data mining for Construction 4.0, this study conducts a bibliometric analysis with three steps: (1) determining research context and scope, (2) retrieving literature from Web of Science, and (3) modeling and visualizing the word similarity network using VOSviewer. Three main research areas, namely data mining for intelligence, digitalization, and automation, are identified. The main research topics and objects are summarized for each research area. Furthermore, two promising research fields, namely construction robots and construction cybersecurity, are discussed as future opportunities. This study reveals the current body of knowledge concerning the applications of data mining and points out its future development directions in the context of Construction 4.0. Keywords: Knowledge discovery; Digitalization; Automation; Virtualization; Decentralization; Artificial intelligence; BIM; Robot DOI: https://doi.org/10.22260/ISARC2022/0013 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley