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

Buch 308 von 364: Springer Proceedings in Mathematics & Statistics
 
9783030371593: Network Algorithms, Data Mining, and Applications: NET, Moscow, Russia, May 2018 (Springer Proceedings in Mathematics & Statistics, Band 315)
Softcover
ISBN 10: 303037159X ISBN 13: 9783030371593
Verlag: Springer, 2021

Inhaltsangabe

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, andbiclustering algorithms are presented with applications to social network analysis.

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Von der hinteren Coverseite

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, andbiclustering algorithms are presented with applications to social network analysis.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
303037159X
ISBN 13 
9783030371593
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
260
Herausgeber
Bychkov Ilya, Kalyagin Valery A., Pardalos Panos M., Prokopyev Oleg
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9783030371562: Network Algorithms, Data Mining, and Applications: NET, Moscow, Russia, May 2018 (Springer Proceedings in Mathematics & Statistics, 315, Band 315)

Vorgestellte Ausgabe

ISBN 10:  3030371565 ISBN 13:  9783030371562
Verlag: Springer, 2020
Hardcover