Fraud analytics using descriptive, predictive, and social network techniques : a guide to data science for fraud detection /
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 implementat...
| Κύριος συγγραφέας: | |
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| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2015]
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| Σειρά: | Wiley and SAS business series.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
| Περίληψη: | 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. -- |
|---|---|
| Φυσική περιγραφή: | 1 online resource. |
| Βιβλιογραφία: | Includes bibliographical references and index. |
| ISBN: | 9781119146827 1119146828 9781119146834 1119146836 |
| DOI: | 10.1002/9781119146841 |
