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|a Baesens, Bart,
|e author.
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1 |
0 |
|a Fraud analytics using descriptive, predictive, and social network techniques :
|b a guide to data science for fraud detection /
|c Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke.
|
264 |
|
1 |
|a Hoboken, New Jersey :
|b John Wiley & Sons, Inc.,
|c [2015]
|
300 |
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|a 1 online resource
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|a text
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|a Includes bibliographical references and index.
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|a 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.
|
520 |
|
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|a 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. --
|c Edited summary from book.
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|a Print version record and CIP data provided by publisher.
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|a English.
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|a Fraud
|x Statistical methods.
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|a Fraud
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|a Commercial crimes
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|
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|
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|a SOCIAL SCIENCE
|x Criminology.
|2 bisacsh
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|a Commercial crimes
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|2 fast
|
650 |
|
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|a Fraud
|x Prevention
|2 fast
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1 |
|
|a Van Vlasselaer, Véronique,
|e author.
|
700 |
1 |
|
|a Verbeke, Wouter,
|d 1983-
|e author.
|
776 |
0 |
8 |
|i Print version:
|a Baesens, Bart.
|t Fraud analytics using descriptive, predictive, and social network techniques.
|d Hoboken, New Jersey : Wiley, [2015]
|z 9781119133124
|w (DLC) 2015017861
|w (OCoLC)908838740
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