Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › Cloud Computing › Snowflake › Snowflake Cortex › Snowflake Cortex ML functions › ANOMALY_DETECTION
Anomaly detection for fraud
concept · part of ANOMALY_DETECTION
JPMorgan Chase employs anomaly detection algorithms to identify deviations from normal user behavior in transaction data. The system monitors patterns and flags suspicious activities like large withdrawals or high-risk location purchases. It is trained on historical fraud data to recognize known fraud patterns.
This is the text view of an interactive 3D knowledge graph — open this page with JavaScript enabled to explore it visually.