TY - GEN
T1 - Current State and Future Opportunities of Data Mining for Construction 4.0
AU - Wu, K.
AU - De Soto, B. García
N1 - Publisher Copyright:
© 2022 International Association on Automation and Robotics in Construction.
PY - 2022
Y1 - 2022
N2 - In the context of Construction 4.0, the dataintensive nature of the AEC/FM industry puts datarelated 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.
AB - In the context of Construction 4.0, the dataintensive nature of the AEC/FM industry puts datarelated 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.
KW - Artificial intelligence
KW - Automation
KW - BIM
KW - Decentralization
KW - Digitalization
KW - Knowledge discovery
KW - Robot
KW - Virtualization
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M3 - Conference contribution
AN - SCOPUS:85137118815
T3 - Proceedings of the International Symposium on Automation and Robotics in Construction
SP - 78
EP - 85
BT - Proceedings of the 39th International Symposium on Automation and Robotics in Construction, ISARC 2022
PB - International Association for Automation and Robotics in Construction (IAARC)
T2 - 39th International Symposium on Automation and Robotics in Construction, ISARC 2022
Y2 - 13 July 2022 through 15 July 2022
ER -