Fraud analytics using descriptive, predictive, and social network techniques : a guide to data science for fraud detection /

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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Baesens, Bart (Author), Van Vlasselaer, Véronique (Author), Verbeke, Wouter, 1983- (Author)
Format: Electronic eBook
Language:Inglés
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., [2015]
Subjects:
Fraud > Statistical methods.
Fraud > Prevention.
Commercial crimes > Prevention.
Fraude > Méthodes statistiques.
SOCIAL SCIENCE > Criminology.
Commercial crimes > Prevention
Fraud > Prevention
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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.

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