Baesens, Bart, <br/><br/>
Fraud analytics using descriptive, predictive, and social network techniques :  a guide to data science for fraud detection / 
Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke. 
 - 1 online resource 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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. 
<br/><br/> 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 implementation. -- 
<br/><br/><br/>English. 
<br/><br/><label>ISBN: </label>9781119146827 1119146828 9781119146834 1119146836 
<br/><br/><label>Source: </label>CL0500000678  Safari Books Online FDC2C05E-2417-43D0-B52C-B4226A4136D6  OverDrive, Inc.  http://www.overdrive.com 
<br/><br/><label>LCCN: </label>2015019076 
<br/><br/><label>Nat. Bib. No.: </label>GBB5B4105  bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>017496790  Uk 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Fraud--Statistical methods.<br/>Fraud--Prevention.<br/>Commercial crimes--Prevention.<br/>Fraude--M�ethodes statistiques.<br/>SOCIAL SCIENCE--Criminology.<br/>Commercial crimes--Prevention<br/>Fraud--Prevention
<br/><br/><label>LC Class. No.: </label>HV6691  / .B34 2015 
<br/><br/><label>Dewey Class. No.: </label>364.16/3015195