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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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Estelle Scifo Estelle Scifo
Author Profile Icon Estelle Scifo
Estelle Scifo
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy
Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Learning Neo4j 3.x - Second Edition
Jérôme Baton, Rik Van Bruggen

ISBN: 978-1-78646-614-3

  • 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.
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