Fraud Analytics Using Descriptive. Predictive. and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Se

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive Predictive and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. 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 implementation. Coverage includes data gathering preprocessing model building and post-implementation with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries including applications in insurance fraud credit card fraud anti-money laundering healthcare fraud telecommunications fraud click fraud tax evasion and more giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled unlabeled and networked data Detect fraud before the damage cascades Reduce losses increase recovery and tighten security The longer fraud is allowed to go on the more harm it causes. It expands exponentially sending ripples of damage throughout the organization and becomes more and more complex to track stop and reverse. Fraud prevention relies on early and effective fraud detection enabled by the techniques discussed here. Fraud Analytics Using Descriptive Predictive and Social Network Techniques helps you stop fraud in its tracks and eliminate the opportunities for future occurrence.

Series: Wiley and SAS Business Series

Hardcover: 400 pages

Publisher: Wiley; 1 edition (August 17 2015)

Language: English

ISBN-10: 1119133122

ISBN-13: 978-1119133124

Product Dimensions: 5.9 x 1.6 x 9.1 inches

Shipping Weight: 1.4 pounds