Fraud analytics using descriptive, predictive, and social network techniques a guide to data science for fraud detection
Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementat...
| Main Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey
John Wiley & Sons, Inc.
2015
|
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- Fraud: detection, prevention, and analytics!
- Data collection, sampling, and preprocessing
- Descriptive analytics for fraud detection
- Predictive analytics for fraud detection
- Social network analysis for fraud detection
- Fraud analytics: post-processing
- Fraud analytics: a broader perspective