Network Science Models for Data Analytics Automation is popular PDF and ePub book, written by Xin W. Chen in 2022-02-21, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Network Science Models for Data Analytics Automation can be Read Online from any device for your convenience.
Network Science Models for Data Analytics Automation Book PDF Summary
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.
Detail Book of Network Science Models for Data Analytics Automation PDF
- Author : Xin W. Chen
- Release : 21 February 2022
- Publisher : Springer Nature
- ISBN : 9783030964702
- Genre : Technology & Engineering
- Total Page : 126 pages
- Language : English
- PDF File Size : 20,5 Mb
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