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Beschreibung
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.
Chang, L: Cohesive Subgraph Computation over Large Sparse Gr
Details
| Verlag | Springer-Verlag GmbH |
| Ersterscheinung | Januar 2019 |
| Maße | 24.1 cm x 16 cm x 1.2 cm |
| Gewicht | 354 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783030035983 |
| Auflage | 2018 |
| Seiten | 107 |
Schlagwörter
Algorithmen und Datenstrukturen, Algorithmus, Computermodellierung und -simulation, Database, Datenbank, Datenbankdesign und -theorie, Datenverarbeitung / Datenverschlüsselung - Kryptografie, Datenverarbeitung / Simulation, Informatik, Mathematik, Mathematik / Allgemeines - Einführung - Lexikon, Mathematische Grundlagen, Numerische Mathematik
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