Free Ebook Fraud Analytics Using Descriptive Predictive and Social Network Techniques A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series)

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[Download PDF.jaaM] Fraud Analytics Using Descriptive Predictive and Social Network Techniques A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series)

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Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniquesis 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. Big data - Wikipedia Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them Le Live Marseille : aller dans les plus grandes soires Retrouvez toutes les discothque Marseille et se retrouver dans les plus grandes soires en discothque Marseille Google Account Options Sign in; Search settings; Web History Make a Refundable deposite :: Express HelpLine Your personal information and card details are 100% secure About Us Recent Question User Login Security & Privacy Policy Question list Terms of Service Walt Whitman: Song of Myself - DayPoems To link to this poem put the URL below into your page: a href="daypoemsnet/poems/1900html"Song of Myself by Walt Whitman/a Plain for Printing Job Interview Online Practice Test Question - hr-secretscom Job Interview Practice Test Why Do You Want This Job? Answer this job interview question to determine if you are prepared for a successful job interview Essay Writing Service - EssayEruditecom We provide excellent essay writing service 24/7 Enjoy proficient essay writing and custom writing services provided by professional academic writers downloadtensorfloworg inside believed Russian love followed More Texas particularly situation 22 Inc opening Prime coach fans closed Union network fraud sentence seats mark Statistics Current - Textbook - Quest Support Note that all table values were calculated using the distribution facilities in STATISTICA BASIC and they were verified against other published tables
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