Cantitate/Preț
Produs
Total produse
Vezi coșul
Algorithms and Models for the Web Graph: 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6–7, 2019, Proceedings de Konstantin Avrachenkov

Algorithms and Models for the Web Graph: 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6–7, 2019, Proceedings: Lecture Notes in Computer Science, cartea 11631

Editat de Konstantin Avrachenkov, Paweł Prałat, Nan Ye
en Limba Engleză Paperback – 4 iul 2019
This book constitutes the proceedings of the 16th International Workshop on Algorithms and Models for the Web Graph, WAW 2019, held in Brisbane, QLD, Australia, in July 2019.
The 9 full papers presented in this volume were carefully reviewed  and selected from 13 submissions. The papers cover topics of all aspects of algorithmic and mathematical research in the areas pertaining to the World Wide Web, espousing the view of complex data as networks.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 31842 lei

Preț vechi: 39803 lei
-20% Nou

Puncte Express: 478
Preț estimativ în valută:
6096€ • 6336$ • 5054£

Carte tipărită la comandă

Livrare economică 05-19 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030250690
ISBN-10: 3030250695
Pagini: 134
Ilustrații: IX, 131 p. 24 illus., 14 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.21 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

Using Synthetic Networks for Parameter Tuning in Community Detection.- Efficiency of Transformations of Proximity Measures for Graph Clustering.- Almost Exact Recovery in Label Spreading.- Strongly n-e.c. Graphs and Independent Distinguishing Labellings.- The Robot Crawler Model on Complete k-Partite and Erdős-Rényi Random Graphs.- Estimating the Parameters of the Waxman Random Graph.- Understanding the Effectiveness of Data Reduction in Public Transportation Networks.- A Spatial Small-World Graph Arising from Activity-Based Reinforcement.- SimpleHypergraphs.jl - Novel Software Framework for Modelling and Analysis of Hypergraphs.