Case Study

FINANCIAL FRAUD DETECTION WITH GRAPH DATA SCIENCE

FINANCIAL FRAUD  DETECTION WITH  GRAPH DATA SCIENCE

FINANCIAL FRAUD DETECTION WITH GRAPH DATA SCIENCE

Pages 14 Pages

FINANCIAL FRAUD DETECTION WITH GRAPH DATA SCIENCE How Graph Algorithms & Visualization Better Predic t Emerging Fraud Patterns HELPING THE WORLD MAKE SENSE OF DATAFinancial Fraud Detection with Graph Data Science Table of Contents Introduction 1 The Challenge of Detecting Financial Fraud 1 Why Current Tactics Fail to Identify All Fraud 2 Enter Graph Data Science for Fraud Detection 3 Three Ways to Use Graph Data Science 4 Graph Search & Queries for Exploration of Relationships 4 Graph Analytics for Discovery 5 Graph Feature Engineering 7 Improving Fraud Detection with Graph Feature Engineering 9 Example: Identifying First-Party Fraud 9 5 Steps for Finding First-Party Fraud using Graph Technology 9 Example: Identifying Fraud Rings 10 8 Steps for Finding Fraud Rings Using Graph Tech

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