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This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome... Læs mere
This handbook addresses how smart operations, management, and healthcare can be used to detect and analyze supply chain problems, business problems, and diseases. It also discusses the underlying methodologies and related security concerns.
The topic of AAL is already a part of the curriculum in many universities and institutes, and this book will... Læs mere
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and... Læs mere
This book focuses on different algorithms and models related to AI, big data, and IoT used for various... Læs mere
This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an... Læs mere
This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background".
This textbook intends to be a comprehensive and substantially... Læs mere
This book presents different tools and techniques used for Decision Support Systems (DSS) including decision tree and table, and their modifications,... Læs mere
As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill... Læs mere
This volume provides a roadmap for the deployment of semantic technologies in the field of data science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame.