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Springer New Trends in IoT and Big Data Analytics - Volume 221

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Description

This volume from Springer's Intelligent Systems Reference Library explores the latest developments in Internet of Things and Big Data Analytics. Designed for researchers, practitioners, and students in computer science and artificial intelligence, the book covers emerging trends, practical applications, and innovations shaping the IoT and analytics landscape. Part of the comprehensive 221-volume reference series, it provides in-depth insights into how IoT technologies and data-driven methodologies are transforming industries and enabling intelligent decision-making across sectors. Whether you are advancing your knowledge in machine learning, cloud computing, or smart systems, this reference work offers current perspectives on cutting-edge applications and future directions in these rapidly evolving fields.

Key Features

Published by Springer as part of the Intelligent Systems Reference Library series, ensuring academic rigor and authoritative content on IoT and Big Data topics.

Volume 221 focuses on contemporary trends and real-world applications that demonstrate how organisations leverage IoT and analytics for competitive advantage.

Suitable for computer science students, AI researchers, and professionals seeking to understand the intersection of Internet of Things, big data, and intelligent systems.

Comprehensive coverage of emerging technologies and methodologies that shape modern data analytics and connected device ecosystems.

Reference material ideal for academic study, professional development, and staying current with advances in IoT infrastructure and analytics frameworks.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 May 2023
Listed Since
20 April 2023

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