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Author: Onofrio Panzarino
Publisher: Packt Publishing Ltd
ISBN: 1783287764
Category : Computers
Languages : en
Pages : 244
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Book Description
An easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation. This book is intended for those who want to learn how to create, query, and maintain a graph database, or who want to migrate to a graph database from SQL. It would be helpful to have some familiarity with Java and/or SQL, but no prior experience is required.
Author: Onofrio Panzarino
Publisher: Packt Publishing Ltd
ISBN: 1783287764
Category : Computers
Languages : en
Pages : 244
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Book Description
An easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation. This book is intended for those who want to learn how to create, query, and maintain a graph database, or who want to migrate to a graph database from SQL. It would be helpful to have some familiarity with Java and/or SQL, but no prior experience is required.
Author: Rik Van Bruggen
Publisher: Packt Publishing Ltd
ISBN: 1849517177
Category : Computers
Languages : en
Pages : 296
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Book Description
This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.
Author: Khodi Dill
Publisher: Annick Press
ISBN: 1773215655
Category : Juvenile Fiction
Languages : en
Pages : 35
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Book Description
Words burn bright in this joyful celebration of rap, creativity, and self-expression. “Welcome to the cypher! Now huddle up nice and snug. You feel that circle around you? Well, that’s a hip hop hug!” Starting with beatboxes and fingersnaps, an exuberant narrator introduces kids in his community to the powerful possibilities of rap, from turning “a simple phrase/into imagery that soars” to proclaiming, “this is a voice that represents me!” As Khodi Dill’s rhymes heat up, the diverse crew of kids—illustrated in Awuradwoa Afful’s bold, energetic style—gain self-confidence and a sense of freedom in this wonderful picture book debut that is perfect for reading aloud.
Author: Jerome Baton
Publisher: Packt Publishing Ltd
ISBN: 1786460084
Category : Computers
Languages : en
Pages : 309
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Book Description
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database About This Book Get acquainted with graph database systems and apply them in real-world use cases Use Cypher query language, APOC and other Neo4j extensions to derive meaningful analysis from complex data sets. A practical guide filled with ready to use examples on querying, graph processing and visualizing information to build smarter spatial applications. Who This Book Is For This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily. What You Will Learn Understand the science of graph theory, databases and its advantages over traditional databases. Install Neo4j, model data and learn the most common practices of traversing data Learn the Cypher query language and tailor-made procedures to analyze and derive meaningful representations of data Improve graph techniques with the help of precise procedures in the APOC library Use Neo4j advanced extensions and plugins for performance optimization. Understand how Neo4j's new security features and clustering architecture are used for large scale deployments. In Detail Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases. Style and approach A step-by-step approach of adopting Neo4j, the world's leading graph database. This book includes a lot of background information, helps you grasp the fundamental concepts behind this radical new way of dealing with connected data, and will give you lots of examples of use cases and environments where a graph database would be a great fit
Author: Bob DuCharme
Publisher: "O'Reilly Media, Inc."
ISBN: 1449313027
Category : Computers
Languages : en
Pages : 255
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Book Description
Get hands-on experience with SPARQL, the RDF query language that's become a key component of the semantic web. With this concise book, you will learn how to use the latest version of this W3C standard to retrieve and manipulate the increasing amount of public and private data available via SPARQL endpoints. Several open source and commercial tools already support SPARQL, and this introduction gets you started right away. Begin with how to write and run simple SPARQL 1.1 queries, then dive into the language's powerful features and capabilities for manipulating the data you retrieve. Learn what you need to know to add to, update, and delete data in RDF datasets, and give web applications access to this data. Understand SPARQL’s connection with RDF, the semantic web, and related specifications Query and combine data from local and remote sources Copy, convert, and create new RDF data Learn how datatype metadata, standardized functions, and extension functions contribute to your queries Incorporate SPARQL queries into web-based applications
Author: Mrs.S.N.Santhalakshmi
Publisher: Leilani Katie Publication
ISBN: 9363489655
Category : Computers
Languages : en
Pages : 185
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Book Description
Mrs.S.N.Santhalakshmi, Assistant Professor & Head of The Department, Department of Computer Applications, Nandha Arts & Science College, Erode, Tamil Nadu, India. Dr.Goutam Panigrahi, Assistant Professor, Department of Mathematics, National Institute of Technology, Durgapur, West Bengal, India. Dr. Saibal Majumder, Assistant Professor, Department of Computer Science and Engineering(Data Science), Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India. Dr. Chandan Bandyopadhyay, Associate Professor & Head of the Department, Department of Computer Science and Engineering(Data Science), Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India.
Author: Monte Cook
Publisher:
ISBN: 9781320511445
Category :
Languages : en
Pages :
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Book Description
Author: Mark Needham
Publisher: "O'Reilly Media, Inc."
ISBN: 1492047635
Category : Computers
Languages : en
Pages : 270
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Book Description
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark
Author: Nettrice R. Gaskins
Publisher: MIT Press
ISBN: 0262542668
Category : Education
Languages : en
Pages : 207
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Book Description
A novel approach to STEAM learning that engages students from historically marginalized communities in culturally relevant and inclusive maker education. The growing maker movement in education has become an integral part of both STEM and STEAM learning, tapping into the natural DIY inclinations of creative people as well as the educational power of inventing or making things. And yet African American, Latino/a American, and Indigenous people are underrepresented in maker culture and education. In this book, Nettrice Gaskins proposes a novel approach to STEAM learning that engages students from historically marginalized communities in culturally relevant and inclusive maker education. Techno-vernacular creativity (TVC) connects technical literacy, equity, and culture, encompassing creative innovations produced by ethnic groups that are often overlooked. TVC uses three main modes of activity: reappropriation, remixing, and improvisation. Gaskins looks at each of the three modes in turn, guiding readers from research into practice. Drawing on real-world examples, she shows how TVC creates dynamic learning environments where underrepresented ethnic students feel that they belong. Students who remix computationally, for instance, have larger toolkits of computational skills with which to connect cultural practices to STEAM subjects; reappropriation offers a way to navigate cultural repertoires; improvisation is firmly rooted in cultural and creative practices. Finally, Gaskins explores an equity-oriented approach that makes a distinction between conventional or dominant pedagogical approaches and culturally relevant or responsive making methods and practices. She describes TVC habits of mind and suggests methods of instructions and projects.
Author: Alessandro Nego
Publisher: Simon and Schuster
ISBN: 1617295647
Category : Computers
Languages : en
Pages : 494
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Book Description
Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data. Summary In Graph-Powered Machine Learning, you will learn: The lifecycle of a machine learning project Graphs in big data platforms Data source modeling using graphs Graph-based natural language processing, recommendations, and fraud detection techniques Graph algorithms Working with Neo4J Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices. Author Alessandro Negro’s extensive experience shines through in every chapter, as you learn from examples and concrete scenarios based on his work with real clients! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Identifying relationships is the foundation of machine learning. By recognizing and analyzing the connections in your data, graph-centric algorithms like K-nearest neighbor or PageRank radically improve the effectiveness of ML applications. Graph-based machine learning techniques offer a powerful new perspective for machine learning in social networking, fraud detection, natural language processing, and recommendation systems. About the book Graph-Powered Machine Learning teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you’ll master the architectures and design practices of graphs, and avoid common pitfalls. Author Alessandro Negro explores examples from real-world applications that connect GraphML concepts to real world tasks. What's inside Graphs in big data platforms Recommendations, natural language processing, fraud detection Graph algorithms Working with the Neo4J graph database About the reader For readers comfortable with machine learning basics. About the author Alessandro Negro is Chief Scientist at GraphAware. He has been a speaker at many conferences, and holds a PhD in Computer Science. Table of Contents PART 1 INTRODUCTION 1 Machine learning and graphs: An introduction 2 Graph data engineering 3 Graphs in machine learning applications PART 2 RECOMMENDATIONS 4 Content-based recommendations 5 Collaborative filtering 6 Session-based recommendations 7 Context-aware and hybrid recommendations PART 3 FIGHTING FRAUD 8 Basic approaches to graph-powered fraud detection 9 Proximity-based algorithms 10 Social network analysis against fraud PART 4 TAMING TEXT WITH GRAPHS 11 Graph-based natural language processing 12 Knowledge graphs
