Graph algorithms practical examples in Apache Spark and Neo4j
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 dynam...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing :
O'Reilly
[2019]
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630625606719 |
Tabla de Contenidos:
- Introduction
- Graph theory and concepts
- Graph platforms and processing
- Pathfinding and graph search algorithms
- Centrality algorithms
- Community detection algorithms
- Graph algorithms in practice
- Using graph algorithms to enhance machine learning.
