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Visualizing Graph Data

. Visualizing these graphs makes it possible to literally see the connections. The graph model consists of data elements, called nodes, and;

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Graph-Based Social Media Analysis

, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal;

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Apache Spark Graph Processing

Build, process and analyze large-scale graph data effectively with Spark About This Book * Find solutions for every stage of data;

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The Practitioner's Guide to Graph Data Applying Graph Thinking and Graph Technologies to Solve Complex Problems

Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data;

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Graph Drawing

This book constitutes the refereed proceedings of the international Symposium on Graph Drawing, GD '95, held in Passau, Germany;

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Graph Data Mining

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world;

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Visualizing Data

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Querying Graphs

Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Visualizing RDF Data on a Handheld

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Graph Databases in Action

. About the technology Graph databases store interconnected data in a more natural form, making them superior tools for representing data;

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Graph Data Management: Fundamental Issues and Recent Developments

This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide;

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Human Interaction with Graphs

data. Given the syntactic complexity of graph query languages (e.g., SPARQL, Cypher), visual graph query interfaces make it easy for non;

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A Primer in Biological Data Analysis and Visualization Using R

in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data;

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A Primer in Biological Data Analysis and Visualization Using R

in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data;

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Practical Graph Mining with R

Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a do-it-yourself approach;

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Software Foundations for Data Interoperability and Large Scale Graph Data Analytics

, and 2nd International Workshop on Large Scale Graph Data Analytics, LSGDA 2020, held in Conjunction with VLDB 2020, in September 2020. Due to;

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Graph Representation Learning

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry;

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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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Graph Databases

Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and;

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Mining Graph Data

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both;

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Graph Kernels

Among the data structures commonly used in machine learning, graphs are arguably one of the most general. Graphs allow the modelling;

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Graph-Powered Machine Learning

* Three end-to-end applications * Graphs in big data platforms * Data source modeling * Natural language processing;

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Visualizing Streaming Data

While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up;

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An Efficient Algorithm for Shortest Path Tree in Dynamic Graph

Graph theory is branch of science, which has a wide application in fields of Engineering, Science and management. Graph theory enables us;

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Graph Algorithms Practical Examples in Apache Spark and Neo4j

Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine;

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