Data Science and Internet of Things Research and Applications at the Intersection of DS and IoT /
This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can translate data into information, enabling the effectiveness and use...
| Corporate Author: | |
|---|---|
| Other Authors: | , , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| Edition: | 1st ed. 2021. |
| Series: | Internet of Things, Technology, Communications and Computing,
|
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-67197-6 |
Table of Contents:
- Introduction
- Machine learning algorithms, techniques & applications in IoT domains
- Network science and IoT
- Social media analysis in scale
- UAV solutions in IoT
- IoT aided Smart Home Architecture for Anomaly Detection
- A modeling approach based on Multiplexity and EGT for resource sharing in Fog/Cloud Computing
- Correlations among Game of Thieves and other centrality measures in large networks
- Optimization strategy in data transmission on Narrowband IoT with LWM2M
- Improving Hydroponic Agriculture through IoT-enabled Collaborative Machine Learning
- An Energy-efficient Techniques for Constrained Application Protocol (CoAP)
- Analysis of GPS power consumption in constrained-resources devices
- A Collaborative BSN-enabled Architecture for Multi-user Activity Recognition
- Conclusion.