Network Science Models for Data Analytics Automation

Discover the transformative power of network science with Network Science Models for Data Analytics Automation by Xin W. Chen. Published by Springer Nature Switzerland AG in 2023, this insightful paperback offers a comprehensive exploration of how network science can enhance data analytics across critical infrastructures and engineered systems. With a total of 122 pages, this book delves into innovative models that facilitate automated data analysis, making it an essential resource for professionals and researchers alike. Gain valuable insights into the intersection of network science and knowledge acquisition, and learn how these methodologies can revolutionize your approach to data analytics. Don't miss out on this essential read that bridges theory and practical application in the ever-evolving field of data science.