Fraud Graph with Amazon Neptune and Machine Learning
summary
Shows how to model and detect fraud by building a fraud graph using Amazon Neptune, connecting entities from retail and financial transactions to reveal patterns hidden in isolated events. Explains combining the Neptune graph database with machine learning techniques to analyze connected transaction data for fraud detection and identity resolution.
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chapters (6)
- 0:00Start
- 1:53What is a Security Graph?
- 3:22Architecture Amazon Neptune
- 7:46Machine learning overview
- 9:26Supervised Machine Learning
- 12:20Neptune ML Design
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