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数据知识共同驱动的工程和管理创新。

IF 6.7 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Patterns Pub Date : 2024-12-13 DOI:10.1016/j.patter.2024.101114
Yingji Xia, Xiqun Michael Chen, Sudan Sun
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引用次数: 0

摘要

现代智能工程和管理场景需要先进的数据利用方法。在这里，我们提出并讨论了数据知识共同驱动的创新，可以解决新出现的挑战，我们提倡在众多工程和管理应用中采用跨学科的方法。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Data-knowledge co-driven innovations in engineering and management.

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.

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来源期刊
Patterns
Patterns Decision Sciences-Decision Sciences (all)
CiteScore
10.60
自引率
4.60%
发文量
153
审稿时长
19 weeks
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