Fraud Analytics: Using Descriptive, Predictive, and Social Network Techniques

Description

The sooner you detect fraud, the more likely you are to reduce losses, increase recovery and tighten security. Detecting fraud at an early stage, though, is more difficult than detecting it later and requires specific techniques.

Fraud Analytics provides you with a comprehensive overview of fraud detection analytical techniques and provides implementation guidance for an effective fraud prevention solution to help you detect fraud early.

You Will Learn How To:

• Detect fraud sooner
• Examine fraud patterns in historical data
• Use labeled, unlabeled and networked data

Topics Covered Include:

• The fraud analytics process model
• Big data
• Anomaly detection
• Neural networks
• Social network metrics
• Community mining
• Visual analytics

Product Details