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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, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.
Laura Hymes Insurance Fraud Casebook. Paying a Premium for Crime laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Laura Hymes Bribery and Corruption Casebook. The View from Under the Table laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Carolin Hutterer Psychological Drivers of Insurance Fraud laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Bruce Johnson The Hedge Fund Fraud Casebook laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Joseph Wells T. Internet Fraud Casebook. The World Wide Web of Deceit laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Joseph Wells T. Financial Statement Fraud Casebook. Baking the Ledgers and Cooking the Books laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Joseph Wells T. Computer Fraud Casebook. The Bytes that Bite laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Tony Steuer Insurance Made Easy. A Comprehensive Roadmap to the Coverage You Need laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Bart Baesens Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Delena Spann D. Fraud Analytics. Strategies and Methods for Detection and Prevention laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Peter Goldmann Financial Services Anti-Fraud Risk and Control Workbook laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Stephen Pedneault Fraud 101. Techniques and Strategies for Understanding Fraud laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938
Howard Silverstone Fraud 101. Techniques and Strategies for Detection laura hymes insurance fraud casebook paying a premium for crime isbn 9781118700938


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