Fraud analytics using descriptive, predictive, and social network techniques a guide to data science for fraud detection
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...
| Other Authors: | |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Hoboken, New Jersey :
Wiley
2015.
|
| Edition: | 1st edition |
| Series: | Wiley and SAS business series.
|
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629575606719 |
| Summary: | 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, mode |
|---|---|
| Item Description: | Includes index. |
| Physical Description: | 1 online resource (402 p.) |
| Bibliography: | Includes bibliographical references at the end of each chapters and index. |
| ISBN: | 9781119146834 9781119146841 9781119146827 |
