Graph algorithms. Practical implementation on Apache Spark and Neo4j platforms
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Every second all over the world, a huge amount of information is collected and dynamically updated. Graf algorithms that are based on mathematics, specially designed to study the relationship between data, help to understand these giant volumes. And, which is especially important today, they improve contextual information for artificial intelligence. This book is a practical guide for the beginning of work with graph algorithms. At the beginning of the description of each category of algorithms, a table is given that will help to quickly choose the desired algorithm and get acquainted with examples of its use.
The publication is intended for developers and data analysis specialists. To study the material of the book, the experience of using the Apache Spark or Neo4j platforms is desirable, but it will also be useful for studying the more general concepts of graph theory, regardless of the choice of graphic technologies
The publication is intended for developers and data analysis specialists. To study the material of the book, the experience of using the Apache Spark or Neo4j platforms is desirable, but it will also be useful for studying the more general concepts of graph theory, regardless of the choice of graphic technologies
Author:
Author:Нидхем Марк
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
ISBN:
ISBN:978-5-97060-799-2
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