
Empowering IoT with Big Data Analytics
by Mohamed Adel Serhani, Yang Xu, Zakaria Maamar
1st Edition
Publisher: Academic Press
Book Details
| Print ISBN | 9780443216404 |
| eText ISBN | 9780443216411 |
| Publisher | Academic Press |
| Publishing Year | 2024 |
| Edition | 1st Edition |
| Language | English |
| Pages | 390 |
Empowering IoT with Big Data Analytics, 1st Edition is a book on big data technologies and analytics solutions for Internet of Things applications. The volume introduces fundamental concepts of big data analytics alongside analytical tools to support decision-making across connected device networks.
The technical content spans the big data value chain tailored for connected environments. Sequential sections examine functional stages, including secure data storage, high-throughput processing, protection protocols, network distribution channels, computational algorithms, and visualization techniques.
A dedicated selection of case studies covering big data applications for IoT grounds theoretical principles in realistic operational scenarios.
Table of Contents
Chapter 1: Introduction: Foundations of IoT and Big data
Chapter 2: Big Data Analytics for IoT: Technologies, Importance, and Algorithms
Chapter 3: Machine learning models for sensory data analytics
Chapter 4: Applications of Big data analytics in IoT
Chapter 5: Security and privacy of IoT applications
Chapter 6: Big data Quality Assessment in the IoT era
Chapter 7: Cloud/edge provisioning to support big data and IoT
Chapter 8: Blockchain and AI: A Dual Strategy for IoT security
Chapter 9: Networks and Implementation tools for IoT and Big Data.
Chapter 10: IoT for Critical Big data Applications
Chapter 11: Case studies of Big Data applications for IoT
Chapter 12: New trends in big data and IoT applications and solutions
Chapter 13: Exploring the Convergence of IoT and Big Data Technologies in the Age of Generative Artificial Intelligence
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