Fraud Detection Using Descriptive, Predictive, and Social Network Analytics
Issued by
SAS
Learning fraud patterns from historical data can be used to fight fraud. The course discusses the use of supervised learning (using a labeled data set), unsupervised learning (using an unlabeled data set), and social network learning (using a networked data set). The techniques can be applied across a wide variety of fraud applications, such as insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and counterfeiting.
Additional DetailsSkills
Earning Criteria
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The owner of this badge completed Fraud Detection Using Descriptive, Predictive, and Social Network Analytics (BFRSUSN).