TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-96470-2
DO  - doi
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.
T1  - Network science models for data analytics automation :theories and applications /
DA  - 2022.
CY  - Cham, Switzerland :
AU  - Chen, Xin W.
VL  - v. 9
CN  - QA76.9.D343
PB  - Springer,
PP  - Cham, Switzerland :
PY  - 2022.
ID  - 1444634
KW  - Data mining.
KW  - Computer networks.
KW  - Electronic data processing.
KW  - Exploration de données (Informatique)
KW  - Réseaux d'ordinateurs.
SN  - 9783030964702
SN  - 3030964701
TI  - Network science models for data analytics automation :theories and applications /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-96470-2
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-96470-2
ER  -