Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud...

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ISBN 13:
9781119133124
author:
Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke
format:
HardBack
publisher:
John Wiley & Sons
language:
English
Publication Year:
2015
Pages:
400
Dimensions:
15.9 x 3.2 x 23.5 cm
Genre:
Computing & Internet, Databases, Data Storage & Management
Condition:
New
Availability:
Item usually sent within 10 working days
£31.25

Description

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guide to setting up a comprehensive fraud detection analytics solution. This book provides expert insight into streamlining implementation, covering data gathering, preprocessing, model building, and post-implementation, with guidance on various learning techniques and the data types utilized by each. The techniques described 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. By examining historical data, utilizing labeled, unlabeled, and networked data, and detecting fraud before it causes damage, organizations can reduce losses, increase recovery, and tighten security. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. With this book, you'll gain a highly practical framework for fraud prevention and learn how to put an end to revenue leaks that cost organizations around 5% of their annual revenue.

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