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

Advises how to catch fraud early to prevent losses and recover quickly. Explores how fraud prevention professionals detect fraud using tools such as descriptive and predictive analytics and social network analysis. Describes fraud detection from the basics through to advanced methodologies

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Detalhes bibliográficos
Autor principal: Baesens, Bart
Formato: Livre papier
Idioma:Anglais
Publicado em: Hoboken, New Jersey : Wiley [2015].
coleção:Wiley & SAS business series
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Baesens, Bart. Fraud analytics using descriptive, predictive, and social network techniques., Hoboken, New Jersey : John Wiley & Sons, Inc., [2015]
Sumário:
  • 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