£116.29

Springer Automatic Graph Drawing - Math and Visualization

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Description

Explore the technical foundations of relational structure layout with Automatic Graph Drawing by Springer. This resource covers the essential methods for visualizing complex data across various scientific and professional fields. It addresses how relational structures are modeled as graphs, hypergraphs, clustered graphs, or compound graphs to facilitate better understanding and analysis. This text is designed for those working in Computer Science, specifically in areas like Data Base Design, Data Mining, and Web Mining. It also provides necessary insights for specialists in Bioinformatics dealing with metabolic networks, Businessinformatics professionals managing organization diagrams or event driven process chains, and researchers in the Social Sciences studying social networks. By studying the layout algorithms developed over the last two decades, readers gain a mathematical perspective on how to represent these diverse structures effectively.

Key Features

Covers layout algorithms based on graph theoretical foundations developed over the last twenty years.

Provides mathematical modeling for various objects including hypergraphs, clustered graphs, and compound graphs.

Supports applications in Computer Science such as Data Base Design, Data Mining, and Web Mining.

Addresses specialized fields including Bioinformatics for metabolic networks and Social Sciences for social networks.

Includes professional use cases for Businessinformatics like organization diagrams and event driven process chains.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
27 August 2003
Listed Since
22 January 2007

Barcode

No barcode data available

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