Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management) - Image 1

£107.98

Springer Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management)

Name: Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management)
Brand: Springer
Price: 107.98 GBP
Availability: InStock

Knowledge Management

This is the most expensive it has ever been. Walk away.

£108 today · previous high £108 · all-time low £108

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 52 days · 52 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 52 days • 1 price levels

Days at Price

Price Analysis

Most common price: £108 (52 days, 100.0%)

Price range: £108 - £108

Price levels: 1 different prices over 52 days

Description

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms. On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE. In addition, it presents three efficient and scalable advanced graph algorithms – the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology fordesigning efficient large-scale graph algorithms.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 9811539308
Category: Books > Subjects > Business, Finance & Law > Management > Knowledge Management
Domain: Amazon UK
Release Date: 02 July 2021
Listed Since: 05 June 2021

Barcode

No barcode data available

Springer Large-scale Graph Analysis: System, Algorithm and Optimization (Big Data Management)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Guide to Graph Algorithms: Sequential, Parallel and Distributed (Texts in Computer Science)

A Guide to Graph Algorithms

Springer Graph Data Mining: Algorithm, Security and Application

Creativity in Load-Balance Schemes for Multi/Many-Core Heterogeneous Graph Computing: Emerging Research and Opportunities (Advances in Computer and Electrical Engineering)

Graph Data Mining: Algorithm, Security and Application (Big Data Management)

Graph Algorithms: Practical Examples in Apache Spark and Neo4j

Computational Graph Theory: 7 (Computing Supplementa, 7)

Graph-Theoretic Concepts in Computer Science: 47th International Workshop, WG 2021, Warsaw, Poland, June 23–25, 2021, Revised Selected Papers: 12911 (Lecture Notes in Computer Science, 12911)

Graph Theory Applications (Universitext)

Scalable Algorithms for Data and Network Analysis (Foundations and Trends (R) in Theoretical Computer Science)

Topics in Algorithmic Graph Theory: 178 (Encyclopedia of Mathematics and its Applications, Series Number 178)

Graph Theory: 244 (Graduate Texts in Mathematics, 244)

Graph Algorithms And Applications 3: 06 (Journal of Graph Algorithms and Applications)

Algorithms on Trees and Graphs: With Python Code (Texts in Computer Science)

Graph Algorithms for Data Science: With Examples in Neo4j

Algorithms on Trees and Graphs: With Python Code (Texts in Computer Science)

Graph Algorithms and Applications 2

Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms

Graph-Theoretic Concepts in Computer Science: 23rd International Workshop, WG'97, Berlin, Germany, June 18-20, 1997. Proceedings: 1335 (Lecture Notes in Computer Science, 1335)

Springer Automatic Graph Drawing - Math and Visualization

Graph-Theoretic Concepts in Computer Science: 43rd International Workshop, WG 2017, Eindhoven, The Netherlands, June 21-23, 2017, Revised Selected ... (Lecture Notes in Computer Science, 10520)

Quantitative Graph Theory: Mathematical Foundations and Applications (Discrete Mathematics and Its Applications (Hardcover))

Graph Data Management: Techniques and Applications (Advances in Data Mining and Database Management)

Managing and Mining Graph Data: 40 (Advances in Database Systems, 40)