Network algorithms, data mining, and applications : NET, Moscow, Russia, May 2018
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Bibliographic Information
Network algorithms, data mining, and applications : NET, Moscow, Russia, May 2018
（Springer proceedings in mathematics & statistics, v. 315）
Springer, c2020
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"This volume is based on the papers presentede at the 8th International Conference on Network Analysis held in Moscow, Yandex office, Russia, May 18-19, 2018"--Pref
Other editors: Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev
Includes bibliographical references
Description and Table of Contents
Description
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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