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المؤلفWei, W.
المؤلفGuizani, M.
المؤلفAhmed, S. H.
المؤلفZhu, C.
تاريخ الإتاحة2022-12-13T10:40:00Z
تاريخ النشر2020-04-01
اسم المنشورIEEE Transactions on Industrial Informatics
المعرّفhttp://dx.doi.org/10.1109/TII.2019.2958638
الاقتباسWei, 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.‏
الرقم المعياري الدولي للكتاب15513203
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078725990&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37226
الملخصThese 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.
اللغةen
الناشرIEEE Computer Society
الموضوعArtificial Intelligence
العنوانGuest Editorial: Special Section on Integration of Big Data and Artificial Intelligence for Internet of Things
النوعArticle
الصفحات2562-2565
رقم العدد4
رقم المجلد16
dc.accessType Abstract Only


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