TY - GEN digital ID - 131920127 TI - Network Science Models for Data Analytics Automation : Theories and Applications PY - 2022 SN - 9783030964702 9783030964696 9783030964719 9783030964726 PB - Cham Springer International Publishing DB - UniCat KW - Electrical engineering KW - Applied physical engineering KW - Engineering sciences. Technology KW - Information systems KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - neuronale netwerken KW - fuzzy logic KW - cybernetica KW - mechatronica KW - industriële robots KW - automatisering KW - gegevensanalyse KW - KI (kunstmatige intelligentie) KW - ingenieurswetenschappen KW - robots KW - automatische regeltechniek KW - AI (artificiële intelligentie) UR - https://www.unicat.be/uniCat?func=search&query=sysid:131920127 AB - 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. ER -