Exploring Graphs

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Exploring Graphs with Elixir

Author : Tony Hammond
Publisher : Pragmatic Bookshelf
ISBN 13 :
Total Pages : 393 pages
Book Rating : 4.8/5 (886 download)

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Book Synopsis Exploring Graphs with Elixir by : Tony Hammond

Download or read book Exploring Graphs with Elixir written by Tony Hammond and published by Pragmatic Bookshelf. This book was released on 2022-11-02 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks. Learn how different graph models can be accessed and used from within Elixir and how you can build a robust semantics overlay on top of graph data structures. We'll start from the basics and examine the main graph paradigms. Get ready to embrace the world of connected data! Graphs provide an intuitive and highly flexible means for organizing and querying huge amounts of loosely coupled data items. These data networks, or graphs in math speak, are typically stored and queried using graph databases. Elixir, with its noted support for fault tolerance and concurrency, stands out as a language eminently suited to processing sparsely connected and distributed datasets. Using Elixir and graph-aware packages in the Elixir ecosystem, you'll easily be able to fit your data to graphs and networks, and gain new information insights. Build a testbed app for comparing native graph data with external graph databases. Develop a set of applications under a single umbrella app to drill down into graph structures. Build graph models in Elixir, and query graph databases of various stripes - using Cypher and Gremlin with property graphs and SPARQL with RDF graphs. Transform data from one graph modeling regime to another. Understand why property graphs are especially good at graph traversal problems, while RDF graphs shine at integrating different semantic models and can scale up to web proportions. Harness the outstanding power of concurrent processing in Elixir to work with distributed graph datasets and manage data at scale. What You Need: To follow along with the book, you should have Elixir 1.10+ installed. The book will guide you through setting up an umbrella application for a graph testbed using a variety of graph databases for which Java SDK 8+ is generally required. Instructions for installing the graph databases are given in an appendix.

Exploring data: graphs and numerical summaries

Author : The Open University
Publisher : The Open University
ISBN 13 :
Total Pages : 81 pages
Book Rating : 4./5 ( download)

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Book Synopsis Exploring data: graphs and numerical summaries by : The Open University

Download or read book Exploring data: graphs and numerical summaries written by The Open University and published by The Open University. This book was released on 2011-07-27 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 20-hour free course introduced a number of ways of representing data graphically and summarising data numerically.

Discovering Graph Secrets

Author : Sandra Markle
Publisher : Atheneum
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Discovering Graph Secrets by : Sandra Markle

Download or read book Discovering Graph Secrets written by Sandra Markle and published by Atheneum. This book was released on 1997 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains activities dealing with charts and graphs, showing how to construct them, what can be plotted, and how they illustrate mathematical concepts.

Graph Analysis and Visualization

Author : Richard Brath
Publisher : John Wiley & Sons
ISBN 13 : 1118845870
Total Pages : 544 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Graph Analysis and Visualization by : Richard Brath

Download or read book Graph Analysis and Visualization written by Richard Brath and published by John Wiley & Sons. This book was released on 2015-01-30 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book. Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers. Study graphical examples of networks using clear and insightful visualizations Analyze specifically-curated, easy-to-use data sets from various industries Learn the software tools and programming languages that extract insights from data Code examples using the popular Python programming language There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.

Math in Action: Graphs, Data & Chance

Author : Teacher Created Resources
Publisher : Teacher Created Resources
ISBN 13 : 1420635336
Total Pages : 98 pages
Book Rating : 4.4/5 (26 download)

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Book Synopsis Math in Action: Graphs, Data & Chance by : Teacher Created Resources

Download or read book Math in Action: Graphs, Data & Chance written by Teacher Created Resources and published by Teacher Created Resources. This book was released on 2005-02-28 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Librarian's Guide to Graphs, Data and the Semantic Web

Author : James Powell
Publisher : Elsevier
ISBN 13 : 178063434X
Total Pages : 269 pages
Book Rating : 4.7/5 (86 download)

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Book Synopsis A Librarian's Guide to Graphs, Data and the Semantic Web by : James Powell

Download or read book A Librarian's Guide to Graphs, Data and the Semantic Web written by James Powell and published by Elsevier. This book was released on 2015-07-09 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web. Provides an accessible introduction to network science that is suitable for a broad audience Devotes several chapters to a survey of how graph theory has been used in a number of scientific data-driven disciplines Explores how graph theory could aid library and information scientists

Graphs and Discovery

Author : Siemion Fajtlowicz
Publisher : American Mathematical Soc.
ISBN 13 : 9780821837610
Total Pages : 388 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Graphs and Discovery by : Siemion Fajtlowicz

Download or read book Graphs and Discovery written by Siemion Fajtlowicz and published by American Mathematical Soc.. This book was released on 2005 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this collection from the working group meeting of November 2001, contributors formulate problems, share ideas and approaches, and plan an agenda for future interactions. Their fields included theoretical and applied computer science, statistics, discrete and non-discrete mathematics, chemistry and information science, and the topics centered on

Graphs in Action

Author : Andrew Einspruch
Publisher : Teacher Created Materials
ISBN 13 : 1433394103
Total Pages : 33 pages
Book Rating : 4.4/5 (333 download)

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Book Synopsis Graphs in Action by : Andrew Einspruch

Download or read book Graphs in Action written by Andrew Einspruch and published by Teacher Created Materials. This book was released on 2009-05-14 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who knew how fun and useful exploring graphs could be? Graphs in Action explores different types of graphs and their practical applications and explains how graphs are used to record business growth and productivity.

Random Walks and Diffusions on Graphs and Databases

Author : Philipp Blanchard
Publisher : Springer Science & Business Media
ISBN 13 : 364219592X
Total Pages : 271 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Random Walks and Diffusions on Graphs and Databases by : Philipp Blanchard

Download or read book Random Walks and Diffusions on Graphs and Databases written by Philipp Blanchard and published by Springer Science & Business Media. This book was released on 2011-05-26 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most networks and databases that humans have to deal with contain large, albeit finite number of units. Their structure, for maintaining functional consistency of the components, is essentially not random and calls for a precise quantitative description of relations between nodes (or data units) and all network components. This book is an introduction, for both graduate students and newcomers to the field, to the theory of graphs and random walks on such graphs. The methods based on random walks and diffusions for exploring the structure of finite connected graphs and databases are reviewed (Markov chain analysis). This provides the necessary basis for consistently discussing a number of applications such diverse as electric resistance networks, estimation of land prices, urban planning, linguistic databases, music, and gene expression regulatory networks.

Exploring Social Issues

Author : Joseph F. Healey
Publisher : Pine Forge Press
ISBN 13 : 9780761986003
Total Pages : 444 pages
Book Rating : 4.9/5 (86 download)

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Book Synopsis Exploring Social Issues by : Joseph F. Healey

Download or read book Exploring Social Issues written by Joseph F. Healey and published by Pine Forge Press. This book was released on 1999 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised edition guides users of SPSS for Windows 95 and, like its predecessor, helps teach students how to `do' social science, by showing how compelling social issues can be explored by analyzing social data. The book is written specifically for beginning research students and is accompanied by a data disk. It stresses active learning, as students are guided step-by-step through the exercises. No previous experience with computers, Windows, SPSS, statistics, or social research is required. An Instructor's Manual is available to lecturers who adopt the book, and request it on their institution's letterhead.

Apache Spark Graph Processing

Author : Rindra Ramamonjison
Publisher : Packt Publishing Ltd
ISBN 13 : 1784398950
Total Pages : 148 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Apache Spark Graph Processing by : Rindra Ramamonjison

Download or read book Apache Spark Graph Processing written by Rindra Ramamonjison and published by Packt Publishing Ltd. This book was released on 2015-09-10 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build, process and analyze large-scale graph data effectively with Spark About This Book Find solutions for every stage of data processing from loading and transforming graph data to Improve the scalability of your graphs with a variety of real-world applications with complete Scala code. A concise guide to processing large-scale networks with Apache Spark. Who This Book Is For This book is for data scientists and big data developers who want to learn the processing and analyzing graph datasets at scale. Basic programming experience with Scala is assumed. Basic knowledge of Spark is assumed. What You Will Learn Write, build and deploy Spark applications with the Scala Build Tool. Build and analyze large-scale network datasets Analyze and transform graphs using RDD and graph-specific operations Implement new custom graph operations tailored to specific needs. Develop iterative and efficient graph algorithms using message aggregation and Pregel abstraction Extract subgraphs and use it to discover common clusters Analyze graph data and solve various data science problems using real-world datasets. In Detail Apache Spark is the next standard of open-source cluster-computing engine for processing big data. Many practical computing problems concern large graphs, like the Web graph and various social networks. The scale of these graphs - in some cases billions of vertices, trillions of edges - poses challenges to their efficient processing. Apache Spark GraphX API combines the advantages of both data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark data-parallel framework. This book will teach the user to do graphical programming in Apache Spark, apart from an explanation of the entire process of graphical data analysis. You will journey through the creation of graphs, its uses, its exploration and analysis and finally will also cover the conversion of graph elements into graph structures. This book begins with an introduction of the Spark system, its libraries and the Scala Build Tool. Using a hands-on approach, this book will quickly teach you how to install and leverage Spark interactively on the command line and in a standalone Scala program. Then, it presents all the methods for building Spark graphs using illustrative network datasets. Next, it will walk you through the process of exploring, visualizing and analyzing different network characteristics. This book will also teach you how to transform raw datasets into a usable form. In addition, you will learn powerful operations that can be used to transform graph elements and graph structures. Furthermore, this book also teaches how to create custom graph operations that are tailored for specific needs with efficiency in mind. The later chapters of this book cover more advanced topics such as clustering graphs, implementing graph-parallel iterative algorithms and learning methods from graph data. Style and approach A step-by-step guide that will walk you through the key ideas and techniques for processing big graph data at scale, with practical examples that will ensure an overall understanding of the concepts of Spark.

ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium

Author : Ladjel Bellatreche
Publisher : Springer Nature
ISBN 13 : 3030558142
Total Pages : 377 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium by : Ladjel Bellatreche

Download or read book ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium written by Ladjel Bellatreche and published by Springer Nature. This book was released on 2020-08-18 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes thoroughly reviewed and selected papers presented at Workshops and Doctoral Consortium of the 24th East-European Conference on Advances in Databases and Information Systems, ADBIS 2020, the 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, and the 16th Workshop on Business Intelligence and Big Data, EDA 2020, held in August 2020. Due to the COVID-19 the joint conference and satellite events were held online. The 26 full papers and 5 short papers were carefully reviewed and selected from 56 submissions. This volume presents the papers that have been accepted for the following satellite events: Workshop on Intelligent Data - From Data to Knowledge, DOING 2020; Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2020; Workshop on Scientic Knowledge Graphs, SKG 2020; Workshop of BI & Big Data Applications, BBIGAP 2020; International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2020; International Workshop on Assessing Impact and Merit in Science, AIMinScience 2020; Doctoral Consortium.

Algorithmic Graph Theory and Perfect Graphs

Author : Martin Charles Golumbic
Publisher : Elsevier
ISBN 13 : 1483271978
Total Pages : 307 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Algorithmic Graph Theory and Perfect Graphs by : Martin Charles Golumbic

Download or read book Algorithmic Graph Theory and Perfect Graphs written by Martin Charles Golumbic and published by Elsevier. This book was released on 2014-05-10 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Graph Theory and Perfect Graphs provides an introduction to graph theory through practical problems. This book presents the mathematical and algorithmic properties of special classes of perfect graphs. Organized into 12 chapters, this book begins with an overview of the graph theoretic notions and the algorithmic design. This text then examines the complexity analysis of computer algorithm and explains the differences between computability and computational complexity. Other chapters consider the parameters and properties of a perfect graph and explore the class of perfect graphs known as comparability graph or transitively orientable graphs. This book discusses as well the two characterizations of triangulated graphs, one algorithmic and the other graph theoretic. The final chapter deals with the method of performing Gaussian elimination on a sparse matrix wherein an arbitrary choice of pivots may result in the filling of some zero positions with nonzeros. This book is a valuable resource for mathematicians and computer scientists.

Learning Spark SQL

Author : Aurobindo Sarkar
Publisher : Packt Publishing Ltd
ISBN 13 : 1785887351
Total Pages : 445 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Learning Spark SQL by : Aurobindo Sarkar

Download or read book Learning Spark SQL written by Aurobindo Sarkar and published by Packt Publishing Ltd. This book was released on 2017-09-07 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API About This Book Learn about the design and implementation of streaming applications, machine learning pipelines, deep learning, and large-scale graph processing applications using Spark SQL APIs and Scala. Learn data exploration, data munging, and how to process structured and semi-structured data using real-world datasets and gain hands-on exposure to the issues and challenges of working with noisy and "dirty" real-world data. Understand design considerations for scalability and performance in web-scale Spark application architectures. Who This Book Is For If you are a developer, engineer, or an architect and want to learn how to use Apache Spark in a web-scale project, then this is the book for you. It is assumed that you have prior knowledge of SQL querying. A basic programming knowledge with Scala, Java, R, or Python is all you need to get started with this book. What You Will Learn Familiarize yourself with Spark SQL programming, including working with DataFrame/Dataset API and SQL Perform a series of hands-on exercises with different types of data sources, including CSV, JSON, Avro, MySQL, and MongoDB Perform data quality checks, data visualization, and basic statistical analysis tasks Perform data munging tasks on publically available datasets Learn how to use Spark SQL and Apache Kafka to build streaming applications Learn key performance-tuning tips and tricks in Spark SQL applications Learn key architectural components and patterns in large-scale Spark SQL applications In Detail In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems. This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL. It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project. Style and approach This book is a hands-on guide to designing, building, and deploying Spark SQL-centric production applications at scale.

Discovering Statistics Using IBM SPSS Statistics

Author : Andy Field
Publisher : SAGE
ISBN 13 : 1526422964
Total Pages : 1269 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Discovering Statistics Using IBM SPSS Statistics by : Andy Field

Download or read book Discovering Statistics Using IBM SPSS Statistics written by Andy Field and published by SAGE. This book was released on 2017-11-14 with total page 1269 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. What’s brand new: A radical new design with original illustrations and even more colour A maths diagnostic tool to help students establish what areas they need to revise and improve on. A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills New sections on replication, open science and Bayesian thinking Now fully up to date with latest versions of IBM SPSS Statistics©. All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution′s virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment. Please note that ISBN: 9781526445780 comprises the paperback edition of the Fifth Edition and the student version of IBM SPSS Statistics.

Exploring Graphs

Author : Jan Stewart
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.:/5 (55 download)

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Book Synopsis Exploring Graphs by : Jan Stewart

Download or read book Exploring Graphs written by Jan Stewart and published by . This book was released on 1989 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Graphs

Author : Aidan Hogan
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636392369
Total Pages : 257 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Knowledge Graphs by : Aidan Hogan

Download or read book Knowledge Graphs written by Aidan Hogan and published by Morgan & Claypool Publishers. This book was released on 2021-11-08 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.