Graph Algorithms : Practical Examples in Apache Spark and Neo4j

Amy E Hodler

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Language: English

Published by O'reilly Media Jun 2019, 2019

1492047686 / 9781492047681

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Neuware - Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior.Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patternsfrom finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics.- Learn how graph analytics reveal more predictive elements in today's data- Understand how popular graph algorithms work and how they're applied- Use sample code and tips from more than 20 graph algorithm examples- Learn which algorithms to use for different types of questions- Explore examples with working code and sample datasets for Spark and Neo4j- Create an ML workflow for link prediction by combining Neo4j and Spark.

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Title
Graph Algorithms : Practical Examples in Apache Spark and Neo4j
Author
Amy E Hodler
Publisher
O'reilly Media Jun 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1492047686
ISBN 13
9781492047681
Item weight
446 grams
Dimensions
237x177x17 mm

AHA-BUCH GmbH

Einbeck, Germany

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