Fraud analytics using descriptive, predictive, and social network techniques : a guide to data science for fraud detection / by Bart Baesens, Veronique Van Vlasselaer and Wouter Verbeke
By: Baesens, Bart.
Contributor(s): Van Vlasselaer, Veronique | Verbeke, Wouter.Publisher: Hoboken, N.J. : Wiley, 2015Description: xxix, 367 p. : ill. ; 24 cm.ISBN: 9781119133124.Subject(s): Fraud | Analytics | Information technology | Social mediaOnline resources: Download as an eBook
|Item type||Home library||Call number||URL||Status||Notes||Date due||Barcode||Item reserves|
|Book||Australia||117 BAE 2015 (Browse shelf)||Not for loan||CA011739|
|Book||Australia||117 BAE 2015 (Browse shelf)||Not for loan||CA011373|
|EBook||International||ProQuest eBook (Browse shelf)||Link to resource||eBook||Available as an ebook here|
|Book||New Zealand||117 FRA (Browse shelf)||Not for loan||CA008795|
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.
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.