Network Algorithms, Data Mining, and Applications - NET, Moscow, Russia, May 2018 (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Mathematics & Statistics, 315
Release date:	February 2021
First published:	2020
Editors:	Ilya Bychkov • Valery A. Kalyagin • Panos M. Pardalos • Oleg Prokopyev
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	244
Edition:	1st ed. 2020
ISBN-13:	978-3-03-037159-3
Categories:	Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	3-03-037159-X
Barcode:	9783030371593

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