Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

Perform graph processing and visualization techniques using connected data across your enterprise

person icon Estelle Scifo

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Oct, 2020

architecture icon Development,Web Development,Vue JS


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 510

ISBN : 9781839215667

Language : English

About the Book

Book description

Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning

Key Features

  • Get up and running with graph analytics with the help of real-world examples
  • Explore various use cases such as fraud detection, graph-based search, and recommendation systems
  • Get to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scaling

Book Description

Neo4j is a graph database that includes plugins to run complex graph algorithms.

The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You’ll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You’ll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You’ll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you’ll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you’ll get to grips with structuring a web application for production using Neo4j.

By the end of this book, you’ll not only be able to harness the power of graphs to handle a broad range of problem areas, but you’ll also have learned how to use Neo4j efficiently to identify complex relationships in your data.

What you will learn

  • Become well-versed with Neo4j graph database building blocks, nodes, and relationships
  • Discover how to create, update, and delete nodes and relationships using Cypher querying
  • Use graphs to improve web search and recommendations
  • Understand graph algorithms such as pathfinding, spatial search, centrality, and community detection
  • Find out different steps to integrate graphs in a normal machine learning pipeline
  • Formulate a link prediction problem in the context of machine learning
  • Implement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphs

Who this book is for

This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j is required.

Hands-On Graph Analytics with Neo4j

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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