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
Social network metrics
Hardcover, 400 Pages
Wiley; 1 edition
Table of Contents:
List of Figures
Chapter 1: Fraud: Detection, Prevention, and Analytics!
Chapter 2: Data Collection, Sampling, and Preprocessing
Chapter 3: Descriptive Analytics for Fraud Detection
Chapter 4: Predictive Analytics for Fraud Detection
Chapter 5: Social Network Analysis for Fraud Detection
Chapter 6: Fraud Analytics: Post-Processing
Chapter 7: Fraud Analytics: A Broader Perspective