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Fraud Detection
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Classroom Contents
What Finance Can Learn From Dating Sites
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- 1 Intro
- 2 Who am I
- 3 This talk is about graphs
- 4 Who owns the graphs
- 5 Graphs of love
- 6 Meet Jeremy
- 7 First Steps
- 8 Good Friends
- 9 Friends Graph
- 10 Graph Databases
- 11 Cypher
- 12 Passion Graph
- 13 Privacy
- 14 Traits
- 15 Location
- 16 Chicago
- 17 Location Matters
- 18 The Graph
- 19 Liars
- 20 Jake
- 21 Jonathan
- 22 Evidence
- 23 Spam Graph
- 24 BOTS
- 25 Professionals
- 26 Finance
- 27 Payment Graph
- 28 Demographics
- 29 Risk Analysis
- 30 Consumer Graph
- 31 Hierarchy
- 32 Fake Phone Numbers
- 33 Fraud Detection
- 34 Speed
- 35 Identity Management
- 36 Access Control
- 37 Security Graph
- 38 Portfolio Analytics
- 39 Cyber Query
- 40 Master Data
- 41 Twitter
- 42 Model W
- 43 Summary
- 44 Recommendation Engine
- 45 Human Centipede
- 46 Filtering Recommendations
- 47 Movie Recommendations
- 48 Why Graph Databases
- 49 No Sequel Databases
- 50 Performance
- 51 Takeaway
