Graph Data Science For Dummies, 2nd Neo4j Special Edition

INTRODUCTION................................................................................................ 1
About This Book.................................................................................... 1
Icons Used in This Book........................................................................ 2
Beyond the Book................................................................................... 2
CHAPTER 1: Understanding Graphs and
Graph Data Science..................................................................... 3
Explaining What a Graph Is.................................................................. 3
Defining Graph Analytics and Graph Data Science........................... 5
Looking at the Types of Questions for Graph Data Science............ 6
CHAPTER 2: Using Graph Data Science in the Real World......... 9
Looking at Graphs in the Health Industry........................................10
Discovering more efficient drugs.................................................10
Improving the patient journey.....................................................11
Recommendations and Personalized Marketing............................11
Fraud Detection...................................................................................12
CHAPTER 3: Evolving Your Use of Graph Data Science
Technology.......................................................................................13
Knowledge Graphs..............................................................................14
Graph Algorithms................................................................................15
Graph-Native Machine Learning.......................................................18
CHAPTER 4: Using Neo4j as a Graph Data
Science Platform.........................................................................21
Neo4j Graph Data Science.................................................................22
Neo4j Graph Database Management System.................................22
Neo4j Desktop and Browser..............................................................23
CHAPTER 5: Detecting Fraud with Graph Data Science.............25
Finding a Good Fraud Dataset...........................................................25
Removing Outliers...............................................................................26
Finding Suspicious Clusters...............................................................29
Visually Exploring a Suspicious Cluster............................................32
Using Graph Features to Predict Fraud............................................35
CHAPTER 6: Ten Tips with Resources for Successful
Graph Data Science...................................................................37
APPENDIX............................................................................................................41

Neo4j Bloom........................................................................................24