Systems for Big Graph Analytics - Da Yan,Yuanyuan Tian,James Cheng
-25% koodilla BOOKS
Toimitus 10-16 arkipäivässä
30 päivän palautusoikeus
There has been a surging interest in developing systems for analyzing big graphs generated by real applications, such as online social networks and knowledge graphs. This book aims to help readers get familiar with the computation models of various graph processing systems with minimal time investment.This book is organized into three parts, addressing three popular computation models for big graph analytic ... Täydellinen kuvaus
Saatat myös pitää
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
AI Engineering: Building Applications with Foundation Models
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Art of Game Design: A Book of Lenses
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How To Think About AI: A Guide For The Perplexed
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
HBR Guide to Generative AI for Managers
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How Linux Works: What Every Superuser Should Know
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Deep Learning: Foundations and Concepts
Christopher M. Bishop, Hugh Bishop
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
There has been a surging interest in developing systems for analyzing big graphs generated by real applications, such as online social networks and knowledge graphs. This book aims to help readers get familiar with the computation models of various graph processing systems with minimal time investment.
This book is organized into three parts, addressing three popular computation models for big graph analytics: think-like-a-vertex, think-likea- graph, and think-like-a-matrix. While vertex-centric systems have gained great popularity, the latter two models are currently being actively studied to solve graph problems that cannot be efficiently solved in vertex-centric model, and are the promising next-generation models for big graph analytics. For each part, the authors introduce the state-of-the-art systems, emphasizing on both their technical novelties and hands-on experiences of using them. The systems introduced include Giraph, Pregel+, Blogel, GraphLab, CraphChi, X-Stream, Quegel, SystemML, etc.
Readers will learn how to design graph algorithms in various graph analytics systems, and how to choose the most appropriate system for a particular application at hand. The target audience for this book include beginners who are interested in using a big graph analytics system, and students, researchers and practitioners who would like to build their own graph analytics systems with new features.
Lisätietoja
| Kirjoittaja | Da Yan, Yuanyuan Tian, James Cheng |
|---|---|
| Julkaisija | Springer International Publishing |
| Julkaisuvuosi | 2017 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783319582160 |