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Graph Drawing and Network Visualization

This book constitutes the proceedings of the 23rd International Symposium on Graph Drawing and Network Visualization, GD 2015, held;

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Graph Analysis & Visualization

Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and;

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Handbook of Graph Drawing and Visualization

Visualization provides a broad, up-to-date survey of the field of graph drawing. It covers topological and geometric foundations, algorithms, software;

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Handbook of Graph Drawing and Visualization

Visualization provides a broad, up-to-date survey of the field of graph drawing. It covers topological and geometric foundations, algorithms, software;

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Planar Graph Drawing

courses on algorithms, graph theory, graph drawing, information visualization and computational geometry. The book will also serve as a useful;

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Graph Drawing and Network Visualization

This book constitutes the proceedings of the 28th International Symposium on Graph Drawing and Network Visualization, GD 2021, which;

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Graph Drawing and Network Visualization

This book constitutes revised selected papers from the 24th International Symposium on Graph Drawing and Network Visualization, GD 2016;

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Graph Drawing and Network Visualization

This book constitutes the refereed proceedings of the 27th International Symposium on Graph Drawing and Network Visualization, GD 2019;

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Graph Algorithms And Applications 3

to the publication of high-quality research papers on the analysis, design, implementation, and applications of graph algorithms. Areas;

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Graph Algorithms And Applications 5

to the publication of high-quality research papers on the analysis, design, implementation, and applications of graph algorithms. Areas;

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Graph Drawing and Network Visualization

This book constitutes the refereed proceedings of the 28th International Symposium on Graph Drawing and Network Visualization, GD 2020;

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Simulation for Applied Graph Theory Using Visual C++

Classes (MFC) libraries for Windows visualization. This book explains how to create a graph interactively, solve problems in graph theory with;

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Graph Algorithms And Applications 4

to the publication of high-quality research papers on the analysis, design, implementation, and applications of graph algorithms. Areas;

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Graph Drawing

Designed for use in a variety of courses including Information Visualization, Human-Computer Interaction, Graph Algorithms, Computational;

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Learning Kibana 5.0

-driven architecture and the Elastic stack * Build effective dashboards for data visualization and explore datasets with Elastic Graph * A;

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Gephi Cookbook

you want to learn network analysis and visualization along with graph concepts from scratch, then this book is for you. This is ideal for;

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Network Security Through Data Analysis

analysis and visualization Detect unusual phenomena through Exploratory Data Analysis (EDA) Identify significant structures in networks with graph;

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Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence

visualization; perception and cognition in visualization; visualization taxonomies and models; abstract data visualization; information and graph;

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Visualizing Graph Data

visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show the real-world value of graph;

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Interactive Visual Data Analysis

data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how;

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Interactive Visual Data Analysis

data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how;

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Graph-Based Social Media Analysis

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction;

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Graph Data Management: Fundamental Issues and Recent Developments

more specialized topics like graph visualization, flexible queries of graph data, parallel processing, and benchmarking. The book will help;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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Guide to Graph Algorithms

comparative analysis of sequential, parallel and distributed graph algorithms - including algorithms for big data - and an investigation into the;

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Hybrid Graph Theory and Network Analysis

aspects of network analysis. This approach is called here hybrid graph theory. This is essentially a vertex-independent view of graphs naturally;

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