Data Science and Internet of Things: Research and Applications at the Intersection of DS and IoT

This book explores the combination of IoT and data science, highlighting how data science methods, algorithms, and tools can enhance IoT services and improve human life. It presents innovative IoT applications and ongoing research that utilize modern data science approaches, with contributions from academics, researchers, and professionals.

Format: Paperback / softback
Length: 182 pages
Publication date: 20 February 2022
Publisher: Springer Nature Switzerland AG

This captivating book delves into the intricate fusion of IoT and data science, shedding light on the remarkable ways in which methods, algorithms, and tools derived from data science can empower and enhance the capabilities of IoT. The authors adeptly showcase how data science methodologies, techniques, and tools can transform raw data into valuable information, thereby enabling the development and provision of innovative services by stakeholders in the IoT ecosystem. With an insightful assertion, the authors propose that if IoT holds the promise of becoming the backbone of the future, the underlying data structure holds the key to a profound enhancement of human well-being. The primary objective of this book is to present a diverse range of cutting-edge IoT applications, alongside ongoing research that harnesses modern data science approaches. It offers readers a comprehensive exploration of the multifaceted issues and challenges that arise in a cross-disciplinary context, encompassing both the realms of IoT and data science. Renowned academics, researchers, and industry experts from both fields contribute their valuable insights and expertise to enrich the content of this book. By delving into the symbiotic relationship between IoT and data science, this publication serves as a valuable resource for scholars, researchers, practitioners, and enthusiasts alike, paving the way for groundbreaking advancements in the fields of IoT and data science.

This captivating book delves into the intricate fusion of IoT and data science, shedding light on the remarkable ways in which methods, algorithms, and tools derived from data science can empower and enhance the capabilities of IoT.

The authors adeptly showcase how data science methodologies, techniques, and tools can transform raw data into valuable information, thereby enabling the development and provision of innovative services by stakeholders in the IoT ecosystem. With an insightful assertion, the authors propose that if IoT holds the promise of becoming the backbone of the future, the underlying data structure holds the key to a profound enhancement of human well-being.

The primary objective of this book is to present a diverse range of cutting-edge IoT applications, alongside ongoing research that harnesses modern data science approaches. It offers readers a comprehensive exploration of the multifaceted issues and challenges that arise in a cross-disciplinary context, encompassing both the realms of IoT and data science. Renowned academics, researchers, and industry experts from both fields contribute their valuable insights and expertise to enrich the content of this book. By delving into the symbiotic relationship between IoT and data science, this publication serves as a valuable resource for scholars, researchers, practitioners, and enthusiasts alike, paving the way for groundbreaking advancements in the fields of IoT and data science.

Weight: 308g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030671990
Edition number: 1st ed. 2021