Description: Network Algorithms, Data Mining, and Applications Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). NET, Moscow, Russia, May 2018 Author(s): Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev Format: Paperback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030371593, 978-3030371593 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.
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Location: Aldershot
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Book Title: Network Algorithms, Data Mining, and Applications
Number of Pages: 244 Pages
Language: English
Publication Name: Network Algorithms, Data Mining, and Applications: Net, Moscow, Russia, May 2018
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Mathematics
Item Height: 235 mm
Item Weight: 403 g
Type: Textbook
Author: Valery A. Kalyagin, Ilya Bychkov, Oleg Prokopyev, Panos M. Pardalos
Series: Springer Proceedings in Mathematics & Statistics
Item Width: 155 mm
Format: Paperback
