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Fraud analytics using descriptive, predictive, and social network techniques : Bart Baesens, Veronique Van Vlasselaer and Wouter Verbeke a guide to data science for fraud detection /
Material type:
TextSeries: Wiley and SAS business seriesPublication details: India Wiley India 2015Description: 367 pISBN: - 9788126558209
- 364.1630 BAE-B
| Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
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BITS Pilani Hyderabad | 360 | General Stack (For lending) | 364.1630 BAE-B (Browse shelf(Opens below)) | Available | 29842 |
Total holds: 0
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| 364.1530954 AST-J Trafficking of women and children : | 364.154092 DUG-J Stolen life : a memoir / | 364.1552 SHE-S Hyderabad heist : the untold story of India's biggest museum theft / | 364.1630 BAE-B Fraud analytics using descriptive, predictive, and social network techniques : | 364.163 BAN-R Who cheats and how? : | 364.163 BAR-J Missing cryptoqueen : the crypto con that fooled the world / | 364.163 HUS-M Corporate fraud : the human factor / |
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. --
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