Data Mining - Analysis White Papers

Data Mining Techniques for Detecting Fraud, Waste and Abuse

Overview Every government agency that exchanges money with citizens, service providers or vendors risks exposure to fraud and abuse. Agencies around the world lose more and more money through fraud every year. Annual fraud and abuse estimates for the U.S. government are said to exceed $250 billion. Agencies need to recoup this lost money so that they can continue providing superior services for their citizens. These agencies can identify wasteful activity by mining their existing data. This paper reviews a number of data mining approaches for detecting transactional/billing fraud, waste and abuse.

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PublisherSPSS File FormatPDF
Date PublishedFebruary 2002 Downloads17
FormatWhite Papers   
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