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This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. A valuable reference for advance undergraduate... Læs mere
The purpose of this edited book is to provide the relevant technologies and case studies in a concise format... Læs mere
Healthcare management has rapidly changed over the last few years from disease centered to patient centered. The analysis of healthcare... Læs mere
This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems.
Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way.
This book explores different research perspectives based on swarm intelligence or hybrid swarm intelligence based techniques to deliver robust and stable mechanism for cloud infrastructural support and cloud security.
This book provides an overview of basic concept from rising of machines and communication to IoT for making the cities smart, real time applications domains, related technologies, and their possible solutions to handle the relevant challenges.
This book aims to discuss the convergence of three powerful technologies which play into the digital revolution and blurs the lines between biological, digital, and physical objects.
This book focuses on making the environment sustainable by employing engineering aspects and green computing through concepts of modern... Læs mere
Whoever has the data has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to... Læs mere