AI Bibliography
AI Bibliography |
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Dai, H.-N., Wang, H., Xu, G., Wan, J., & Imran, M. (2020). Big data analytics for manufacturing internet of things: Opportunities, challenges and enabling technologies. Enterprise Information Systems, 14(9-10), 1279–1303. |
| Resource type: Journal Article BibTeX citation key: Dai2020 View all bibliographic details  |
Categories: Artificial Intelligence, Complexity Science, Computer Science, Data Sciences, Decision Theory, Engineering, General Subcategories: 5G, Autonomous systems, Big data, Cloud computing, Deep learning, Informatics, Internet of things, Machine learning, Neural nets, Robotics, Simulations, Systems theory, Virtual reality Creators: Dai, Imran, Wan, Wang, Xu Publisher: Collection: Enterprise Information Systems |
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| Abstract |
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Data analytics in massive manufacturing data can extract huge business values while can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data. This paper provides an overview on big data analytics in manufacturing Internet of Things (MIoT). This paper first starts with a discussion on necessities and challenges of big data analytics in manufacturing data of MIoT. Then, the enabling technologies of big data analytics of manufacturing data are surveyed and discussed. Moreover, this paper also outlines the future directions in this promising area.
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