المؤلف | Wei, W. |
المؤلف | Guizani, M. |
المؤلف | Ahmed, S. H. |
المؤلف | Zhu, C. |
تاريخ الإتاحة | 2022-12-13T10:40:00Z |
تاريخ النشر | 2020-04-01 |
اسم المنشور | IEEE Transactions on Industrial Informatics |
المعرّف | http://dx.doi.org/10.1109/TII.2019.2958638 |
الاقتباس | Wei, 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 للكتاب | 15513203 |
معرّف المصادر الموحد | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078725990&origin=inward |
معرّف المصادر الموحد | http://hdl.handle.net/10576/37226 |
الملخص | These 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. |
اللغة | en |
الناشر | IEEE Computer Society |
الموضوع | Artificial Intelligence
|
العنوان | Guest Editorial: Special Section on Integration of Big Data and Artificial Intelligence for Internet of Things |
النوع | Article |
الصفحات | 2562-2565 |
رقم العدد | 4 |
رقم المجلد | 16 |
dc.accessType
| Abstract Only |