工程与管理中数据-知识共同驱动的创新
Data-knowledge co-driven innovations in engineering and management.
作者信息
Xia Yingji, Chen Xiqun Michael, Sun Sudan
机构信息
Institute of Intelligent Transportation Systems, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China.
School of Medicine, Zhejiang University, Hangzhou, China.
出版信息
Patterns (N Y). 2024 Dec 13;5(12):101114. doi: 10.1016/j.patter.2024.101114.
Abstract
Modern intelligent engineering and management scenarios require advanced data utilization methodologies. Here, we propose and discuss data-knowledge co-driven innovations that could address emerging challenges, and we advocate for the adoption of interdisciplinary methodologies in numerous engineering and management applications.
摘要
现代智能工程与管理场景需要先进的数据利用方法。在此，我们提出并讨论能够应对新出现挑战的数据-知识协同驱动创新，并且我们主张在众多工程与管理应用中采用跨学科方法。
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