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8th International Conference in Network Analysis

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...

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Detalles Bibliográficos
Autores principales: Bychkov, Ilya, Kalyagin, Valery, Pardalos, Panos, Prokopyev, Oleg
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-37157-9
http://cds.cern.ch/record/2711889
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author Bychkov, Ilya
Kalyagin, Valery
Pardalos, Panos
Prokopyev, Oleg
author_facet Bychkov, Ilya
Kalyagin, Valery
Pardalos, Panos
Prokopyev, Oleg
author_sort Bychkov, Ilya
collection CERN
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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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
publisher Springer
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spelling cern-27118892021-04-22T06:31:05Zdoi:10.1007/978-3-030-37157-9http://cds.cern.ch/record/2711889engBychkov, IlyaKalyagin, ValeryPardalos, PanosProkopyev, Oleg8th International Conference in Network AnalysisMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:27118892020
spellingShingle Mathematical Physics and Mathematics
Bychkov, Ilya
Kalyagin, Valery
Pardalos, Panos
Prokopyev, Oleg
8th International Conference in Network Analysis
title 8th International Conference in Network Analysis
title_full 8th International Conference in Network Analysis
title_fullStr 8th International Conference in Network Analysis
title_full_unstemmed 8th International Conference in Network Analysis
title_short 8th International Conference in Network Analysis
title_sort 8th international conference in network analysis
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-37157-9
http://cds.cern.ch/record/2711889
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