Willkommen, schön sind Sie da!
Logo Ex Libris

Network Algorithms, Data Mining, and Applications

  • Kartonierter Einband
  • 244 Seiten
(0) Erste Bewertung abgeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economi... Weiterlesen
CHF 136.00
Print on demand - Exemplar wird für Sie besorgt.
Kein Rückgaberecht!
Bestellung & Lieferung in eine Filiale möglich

Beschreibung

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.

Introduces state-of-the-art techniques in computer science and network analysis

Features new theoretical models and approaches for network analysis with new efficient tools

Presents a range of application for network models and network analysis



Inhalt


Produktinformationen

Titel: Network Algorithms, Data Mining, and Applications
Untertitel: NET, Moscow, Russia, May 2018
Editor:
EAN: 9783030371593
ISBN: 978-3-030-37159-3
Format: Kartonierter Einband
Herausgeber: Springer, Berlin
Genre: Mathematik
Anzahl Seiten: 244
Gewicht: 403g
Größe: H235mm x B235mm x T155mm
Jahr: 2021
Auflage: 1st ed. 2020

Weitere Produkte aus der Reihe "Springer Proceedings in Mathematics & Statistics"