Edge Learning For Distributed Big Data Analytics
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Edge Learning for Distributed Big Data Analytics
Author: Song Guo
language: en
Publisher: Cambridge University Press
Release Date: 2022-02-10
Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.
Big Data Analytics
Author: Satish Narayana Srirama
language: en
Publisher: Springer Nature
Release Date: 2022-01-01
This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.
Springer Handbook of Internet of Things
This handbook is an authoritative, comprehensive reference on Internet of Things, written for practitioners, researchers, and students around the world. This book provides a definitive single point of reference material for all those interested to find out information about the basic technologies and approaches that are used to design and deploy IoT applications across a vast variety of different application fields spanning from smart buildings, smart cities, smart factories, smart farming, building automation, connected vehicles, and machine to machine communication. The book is divided into ten parts, each edited by top experts in the field. The parts include: IoT Basics, IoT Hardware and Components, Architecture and Reference Models, IoT Networks, Standards Overview, IoT Security and Privacy, From Data to Knowledge and Intelligence, Application Domains, Testbeds and Deployment, and End-User Engagement. The contributors are leading authorities in the fields of engineering and represent academia, industry, and international government and regulatory agencies.