The sooner you detect fraud the more likely you are to reduce losses increase recovery and tighten security detecting fraud at an early stage though is more difficult than detecting it later and requires specific techniques fraud analytics provides you with a comprehensive overview of fraud . 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. From fraud analytics using descriptive predictive and social network techniques a guide to data science for fraud detection by bart baesens vronique van vlasselaer and wouter verbeke. Exploring how auditors corporate security prevention managers and fraud prevention professionals can stay one step ahead of cyber criminals this book addresses the different types of analytics in detecting fraud including descriptive analytics predictive analytics and social network analysis. This course shows how 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
How it works:
1. Register a Free 1 month Trial Account.
2. Download as many books as you like ( Personal use )
3. No Commitment. Cancel anytime.
4. Join Over 100.000 Happy Readers.
5. That's it. What you waiting for? Sign Up and Get Your Books.