Network Algorithms, Data Mining, and Applications NET, Moscow, Russia, May 2018

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Synopsis

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.

Book details

Edition:
1st ed. 2020
Series:
Springer Proceedings in Mathematics & Statistics (Book 315)
Author:
Panos M. Pardalos, Valery A. Kalyagin, Oleg Prokopyev, Ilya Bychkov
ISBN:
9783030371579
Related ISBNs:
9783030371562
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2020-04-07
Usage restrictions:
Copyright
Copyright date:
2020
Copyright by:
Springer Nature Switzerland AG 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction