Graph Data Analytics : A practical guide to process, visualize, and analyze connected data with Neo4j
by
Sonal Raj
Book Details
Format
Paperback / Softback
ISBN-10
9365895367
ISBN-13
9789365895360
Publisher
BPB Publications
Imprint
BPB Publications
Country of Manufacture
IN
Country of Publication
GB
Publication Date
Jan 1st, 1900
Print length
372 Pages
Product Classification:
Computing & information technology
Ksh 6,300.00
Not Yet Published
0 in stock
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Quality
Fast
Utilizing graphs to improve search and recommendations on graph data models. Understand GDS and Neo4j graph algorithms including cluster detection, link prediction, and centrality. Complex problem-solving for predicting connections, application in ML pipelines and GNNs using graphs.
For most modern-day data, graph data models are proving to be advantageous since they facilitate a diverse range of data analyses. This has spiked the interest and usage of graph databases, especially Neo4j. We study Neo4j and cypher along with various plugins that augment database capabilities in terms of data types or facilitate applications in data science and machine learning using plugins like graph data science (GDS). A significant portion of the book is focused on discussing the structure and usage of graph algorithms. Readers will gain insights into well-known algorithms like shortest path, PageRank, or Label Propagation among others, and how one can apply these algorithms in real-world scenarios within a Neo4j graph.
Get Graph Data Analytics by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by BPB Publications and it has pages.
