Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1780965259009327104 |
---|---|
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. |
id | cern-2711889 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
publisher | Springer |
record_format | invenio |
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 |
work_keys_str_mv | AT bychkovilya 8thinternationalconferenceinnetworkanalysis AT kalyaginvalery 8thinternationalconferenceinnetworkanalysis AT pardalospanos 8thinternationalconferenceinnetworkanalysis AT prokopyevoleg 8thinternationalconferenceinnetworkanalysis |