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 Author: | Baesens, Bart |
---|---|
Format: | eBook |
Language: | English |
Published: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2015]
|
Series: | Wiley and SAS business series.
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Managing fraud risk : a practical guide for directors and managers /
by: Giles, Steve, 1957-
Published: (2012) -
Faces of fraud : cases and lessons from a life of fighting fraudsters /
by: Biegelman, Martin T.
Published: (2013) -
Bank fraud : using technology to combat losses /
by: Subramanian, Revathi
Published: (2014) -
Exposing fraud : skills, process and practicalities /
by: Ross, Ian, 1959-
Published: (2016) -
Benford's law : applications for forensic accounting, auditing, and fraud detection /
by: Nigrini, Mark J. (Mark John)
Published: (2012)