Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques
A Guide to Data Science for Fraud Detection
Ranked #53 in Auditing, Ranked #100 in Data Mining
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,... more
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