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Основной контент книги Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection
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Book duration 402 pages

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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection

authors
Bart Baesens,
wouter verbeke
Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

$49.95

About the book

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. 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. Coverage includes data gathering, preprocessing, model... 

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Book Bart Baesens, Wouter Verbeke «Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection» — read online on the website. Leave comments and reviews, vote for your favorites.
Age restriction:
0+
Release date on Litres:
10 January 2018
Volume:
402 p.
ISBN:
9781119146827
Total size:
19 МБ
Total number of pages:
402
Copyright holder:
John Wiley & Sons Limited
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