Network Algorithms, Data Mining, and Applications: NET, Moscow, Russia, May 2018: 315 (Springer Proceedings in Mathematics & Statistics) - Tapa blanda

Libro 290 de 344: Springer Proceedings in Mathematics & Statistics
 
9783030371593: Network Algorithms, Data Mining, and Applications: NET, Moscow, Russia, May 2018: 315 (Springer Proceedings in Mathematics & Statistics)
Tapa blanda
ISBN 10: 303037159X ISBN 13: 9783030371593
Editorial: Springer, 2021

Sinopsis

This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. 

Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

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De la contraportada

This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. 

Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2021
Idioma
Inglés
ISBN 10 
303037159X
ISBN 13 
9783030371593
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
260
Editor
Bychkov Ilya, Kalyagin Valery A., Pardalos Panos M., Prokopyev Oleg
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
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Otras ediciones populares con el mismo título

9783030371562: Network Algorithms, Data Mining, and Applications: NET, Moscow, Russia, May 2018: 315 (Springer Proceedings in Mathematics & Statistics)

Edición Destacada

ISBN 10:  3030371565 ISBN 13:  9783030371562
Editorial: Springer, 2020
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