Empowering IoT with Big Data Analytics: Intelligent Data-Centric Systems
Editat de Mohamed Adel Serhani, Yang Xu, Zakaria Maamaren Limba Engleză Paperback – 20 noi 2024
Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data.
- Introduces fundamental concepts of big data analytics and their applications to IoT
- Helps readers learn to leverage big data storage, processing and analysis tools, and techniques to promote IoT applications for better decision-making
- Explores federated learning in big data to ensure data privacy and handle data heterogeneity
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Specificații
ISBN-13: 9780443216404
ISBN-10: 0443216401
Pagini: 390
Dimensiuni: 191 x 235 x 22 mm
Greutate: 0.67 kg
Editura: ELSEVIER SCIENCE
Seria Intelligent Data-Centric Systems
ISBN-10: 0443216401
Pagini: 390
Dimensiuni: 191 x 235 x 22 mm
Greutate: 0.67 kg
Editura: ELSEVIER SCIENCE
Seria Intelligent Data-Centric Systems
Cuprins
1. Introduction: Foundations of IoT and Big data
2. Big Data Analytics for IoT: Technologies, Importance, and Algorithms
3. Machine learning models for sensory data analytics
4. Applications of Big data analytics in IoT
5. Security and privacy of IoT applications
6. Big data Quality Assessment in the IoT era
7. Cloud/edge provisioning to support big data and IoT
8. Blockchain and AI: A Dual Strategy for IoT security
9. Networks and Implementation tools for IoT and Big Data.
10. IoT for Critical Big data Applications
11. Case studies of Big Data applications for IoT
12. New trends in big data and IoT applications and solutions
13. Exploring the Convergence of IoT and Big Data Technologies in the Age of Generative Artificial Intelligence
2. Big Data Analytics for IoT: Technologies, Importance, and Algorithms
3. Machine learning models for sensory data analytics
4. Applications of Big data analytics in IoT
5. Security and privacy of IoT applications
6. Big data Quality Assessment in the IoT era
7. Cloud/edge provisioning to support big data and IoT
8. Blockchain and AI: A Dual Strategy for IoT security
9. Networks and Implementation tools for IoT and Big Data.
10. IoT for Critical Big data Applications
11. Case studies of Big Data applications for IoT
12. New trends in big data and IoT applications and solutions
13. Exploring the Convergence of IoT and Big Data Technologies in the Age of Generative Artificial Intelligence