Cohesive Subgraph Computation over Large Sparse Graphs

Cohesive Subgraph Computation over Large Sparse Graphs

AngličtinaPevná väzbaTlač na objednávku
Chang Lijun
Springer, Berlin
EAN: 9783030035983
Tlač na objednávku
Predpokladané dodanie v utorok, 11. februára 2025
48,30 €
Bežná cena: 53,67 €
Zľava 10 %
ks
Chcete tento titul ešte dnes?
kníhkupectvo Megabooks Banská Bystrica
nie je dostupné
kníhkupectvo Megabooks Bratislava
nie je dostupné
kníhkupectvo Megabooks Košice
nie je dostupné

Podrobné informácie

This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of information technology, huge volumes of graph data are accumulated. An availability of rich graph data not only brings great opportunities for realizing big values of data to serve key applications, but also brings great challenges in computation. Using a consistent terminology, the book gives an excellent introduction to the models and algorithms for the problem of cohesive subgraph computation. The materials of this book are well organized from introductory content to more advanced topics while also providing well-designed source codes for most algorithms described in the book. This is a timely book for researchers who are interested in this topic and efficient data structure design for large sparse graph processing. It is also a guideline book for new researchers to get to know the area of cohesive subgraph computation.
EAN 9783030035983
ISBN 3030035980
Typ produktu Pevná väzba
Vydavateľ Springer, Berlin
Dátum vydania 7. januára 2019
Stránky 107
Jazyk English
Rozmery 235 x 155
Krajina Switzerland
Čitatelia Professional & Scholarly
Autori Chang Lijun; Qin Lu
Ilustrácie XII, 107 p. 21 illus., 1 illus. in color.
Edícia 1st ed. 2018
Séria Springer Series in the Data Sciences