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

£103.07

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: 103.07 GBP
Availability: InStock

Knowledge Management

Price History & Forecast

Last 89 days • 89 data points

Historical

Generating forecast...

Price Distribution

Price distribution over 89 days • 1 price levels

Days at Price

Price Analysis

Most common price: £103 (89 days, 100.0%)

Price range: £103 - £103

Price levels: 1 different prices over 89 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: hardcover
ASIN: 9811539278
Category: Books > Subjects > Business, Finance & Law > Management > Knowledge Management
Domain: Amazon UK
Release Date: 02 July 2020
Listed Since: 16 February 2020

Barcode

No barcode data available

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Mathematical Problems in Data Science: Theoretical and Practical Methods

Big Data and Visual Analytics

Heterogeneous Graph Representation Learning and Applications (Artificial Intelligence: Foundations, Theory, and Algorithms)

Distributed Optimization in Networked Systems: Algorithms and Applications (Wireless Networks)

Big Data Technologies and Applications

Machine Learning and Granular Computing: A Synergistic Design Environment (Studies in Big Data)

Big Data: Grundlagen, Systeme und Nutzungspotenziale (Edition HMD)

Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions: 806 (Studies in Computational Intelligence, 806)

Spatiotemporal Data Analytics and Modeling: Techniques and Applications (Big Data Management)

Big Data Analytics: Theory, Techniques, Platforms, and Applications (Springerbriefs in Applied Sciences and Technology)

Seeing Cities Through Big Data: Research, Methods and Applications in Urban Informatics (Springer Geography)

Multi-Objective Optimization: Evolutionary to Hybrid Framework

Intelligent Methods in Electrical Power Systems (Engineering Optimization: Methods and Applications)

Network Slicing for 5G and Beyond Networks

Large-scale Distributed Systems and Energy Efficiency: A Holistic View (Wiley Series on Parallel and Distributed Computing)

Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks (Advances in Computer Vision and Pattern Recognition)

Open Problems in Mathematics and Computational Science

Models and Algorithms of Time-Dependent Scheduling (Monographs in Theoretical Computer Science. An EATCS Series)

Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data-Driven Models (Wiley and SAS Business Series)

Multiprocessor Scheduling for Real-Time Systems (Embedded Systems)

Large Sample Techniques for Statistics (Springer Texts in Statistics)

Big Data Mining for Climate Change

Weighted and Fuzzy Graph Theory: 429 (Studies in Fuzziness and Soft Computing, 429)

Probabilistic Modeling in Bioinformatics and Medical Informatics (Advanced Information and Knowledge Processing)