£107.43

Springer Models, Algorithms and Technologies for Network Analysis

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Description

Explore advanced mathematical approaches in Models, Algorithms and Technologies for Network Analysis. This volume contains the proceedings from the Fourth International Conference in Network Analysis held in Nizhny Novgorod, Russia. It serves as a comprehensive resource for understanding the complex structures behind modern data systems. Readers will find detailed research covering a wide range of essential topics such as graph coloring, maximum cliques, and data mining. The text provides deep insights into brain networks, Steiner forest, and both logistic and supply chain networks. By studying these models, professionals can better understand how network algorithms apply to real-world scenarios including market graphs, manufacturing problems, internet networks, and social networks. This publication represents a collaborative effort between scientists, engineers, and researchers from academia, industry, and government. It is an essential text for those working in computing, data science, and network management who require a technical foundation in network analysis technologies.

Key Features

Covers essential network topics including maximum cliques, graph coloring, and data mining for advanced research.

Provides technical analysis of brain networks and Steiner forest models for specialized scientific study.

Explores practical applications in logistic and supply chain networks to improve operational understanding.

Includes research on network algorithms applied to market graphs, manufacturing, and internet networks.

Details the findings from the Fourth International Conference in Network Analysis held in Nizhny Novgorod.

Bridges the gap between academic research and industry application for scientists and engineers.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 June 2018
Listed Since
01 July 2018

Barcode

No barcode data available

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