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AuthorWei, W.
AuthorGuizani, M.
AuthorAhmed, S. H.
AuthorZhu, C.
Available date2022-12-13T10:40:00Z
Publication Date2020-04-01
Publication NameIEEE Transactions on Industrial Informatics
Identifierhttp://dx.doi.org/10.1109/TII.2019.2958638
CitationWei, W., Guizani, M., Ahmed, S. H., & Zhu, C. (2020). Guest editorial: special section on integration of big data and artificial intelligence for internet of things. IEEE Transactions on Industrial Informatics, 16(4), 2562-2565.‏
ISSN15513203
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078725990&origin=inward
URIhttp://hdl.handle.net/10576/37226
AbstractThese redundant data in IoT should be compressed or removed. Furthermore, the unstructured data in IoT plays an important role for analyzing the user behaviors, while transmitting and processing these unstructured data consumption of substantial energy. These unstructured data should be mined or restructured. In addition, the increasing number of users in IoT leads to a fast-growing data in IoT, while the Quality of Service (QoS) of IoT should be maintained regardless of the number of IoT users. Therefore, the data transmission and processing in IoT should be performed in a more intelligent manner. All these observations indicate that the integration of big data and artificial intelligence (AI) for IoT is a good propellant to improve the data transmission and processing in IoT, since big data technology (e.g., data integration, data mining, data prediction) could effectively handle various data while AI technology could further facilitate capturing and structuring big data.
Languageen
PublisherIEEE Computer Society
SubjectArtificial Intelligence
TitleGuest Editorial: Special Section on Integration of Big Data and Artificial Intelligence for Internet of Things
TypeArticle
Pagination2562-2565
Issue Number4
Volume Number16
dc.accessType Abstract Only


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