Wiley, 2022. — 53 p.
In this book, we focus on the commercial applications of graph analysis and graph-enhanced machine learning (ML), which takes the form of graph data science. We also use Neo4j graph technology to illustrate a graph data science platform. You take a quick look at graph data science and its uses before covering the journey of graph data science adoption. You also review Neo4j technology as a graph data science platform and walk through a fraud detection example.