Data intelligence is currently a very important and hot research area, referring to the practice of using artificial intelligence and machine learning tools to analyze, gain knowledge, and insights from massive datasets, which can then be used to improve services and investments. The Internet of Things (IoT) is the main source of various type of data, but also provides a large amount of applications for data intelligence, such as assisted living, intelligent production, and activity monitoring. Researchers are working in developing various data intelligence tools, advanced techniques, and services to better analyze and secure IoT data, and support IoT applications. This special section aims to publish high-quality research papers in various aspects of data intelligence in IoT.
Keywords: Data intelligence, IoT, Machine learning, Artificial Intelligence

1. Deep learning for IoT

2. Unsupervised learning and clustering for IoT

3. Supervised learning and classification for IoT

4. Reinforcement learning for IoT

5. IoT Data mining

6. IoT Robust and dynamic optimization

7. IoT Visualization and analysis

8. Federated learning for IoT

9. IoT Data Intelligence in Security and Privacy

10. Security and Privacy in IoT Data Intelligence

Authors are to submit complete unpublished papers in the above, but not limited to the above topics of interest.