Téléchargez le livre : Network Science Models for Data Analytics Automation

Network Science Models for Data Analytics Automation

Theories and Applications de

Éditeur :

Springer


Collection :

Automation, Collaboration, & E-Services

Paru le : 2022-02-21

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Description

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. Advanced undergraduate students and graduate students in mathematics, statistics, engineering, business, public health, and social science may use this book as a one-semester textbook or a reference book. Readers who are more interested in applications may skip Chapter 1 and peruse through the rest of the book with ease.
Pages
122 pages
Collection
Automation, Collaboration, & E-Services
Parution
2022-02-21
Marque
Springer
EAN papier
9783030964696
EAN PDF
9783030964702
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
5673 Ko
Prix
126,59 €
EAN EPUB
9783030964702
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
32184 Ko
Prix
126,59 €

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