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Название: Network Science Models for Data Analytics Automation: Theories and Applications
Автор: Xin W. Chen
Издательство: Springer
Год: 2022
Страниц: 126
Язык: английский
Формат: pdf (true), epub
Размер: 35.99 MB
This book explains network science and its applications in data analytics for critical infrastructures, engineered systems, and knowledge acquisition. Each chapter describes step-by-step processes of how network science enables and automates data analytics through examples. The book not only dissects modeling techniques and analytical results but also explores the intrinsic development of these models and analyses. This unique approach bridges the gap between theory and practice and channels’ managerial and problem-solving skills. Engineers, researchers, and managers would benefit from the extensive theoretical background and practical examples discussed in this book.
Автор: Xin W. Chen
Издательство: Springer
Год: 2022
Страниц: 126
Язык: английский
Формат: pdf (true), epub
Размер: 35.99 MB
This book explains network science and its applications in data analytics for critical infrastructures, engineered systems, and knowledge acquisition. Each chapter describes step-by-step processes of how network science enables and automates data analytics through examples. The book not only dissects modeling techniques and analytical results but also explores the intrinsic development of these models and analyses. This unique approach bridges the gap between theory and practice and channels’ managerial and problem-solving skills. Engineers, researchers, and managers would benefit from the extensive theoretical background and practical examples discussed in this book.